Astronomers

**Become a part of our caring community and help us put health first**

The Data Scientist II uses mathematics, statistics, business analysis, and technology to deliver advanced analytic solutions. The ideal candidate for this position is well-versed in a variety of statistical techniques and understands how to navigate ambiguous business challenges. Desired characteristics for candidates are experience with healthcare and/or survey data, Medicare Stars knowledge, and advanced statistics and machine learning expertise.

The Data Scientist II will be a part of Member and Provider Analytics, a team which uses data science, business intelligence and Stars expertise to solve meaningful problems for Stars business partners. Our analytics drive Humana’s Stars performance and improve the health and life of our members by transforming data into advanced analytic solutions.

The Stars program is the Centers for Medicare & Medicaid Services (CMS) five‐star quality rating system for measuring Medicare beneficiaries’ experience with their health plans and the health care system. The program is a key component in financing health care benefits for MA and MA‐PD plan enrollees. In addition, the ratings are posted on the Medicare Plan Finder website to help beneficiaries choose the right plan offered in their geography. Quality metrics include screenings and vaccines, managing chronic conditions, member experience with the health plan, member complaints, interactions with providers and customer service. This quality measure of Humana’s Medicare Advantage product offering directly impacts our members’ health.

The Data Scientist II uses machine learning and statistics to deliver business solutions based on large structured and unstructured data sets and exercises good judgment in their use of methods and in their communication of results. The Data Scientist II applies the appropriate statistical techniques to solve complex business problems and influences business partners to make data-driven strategic decisions.

**Responsibilities include:**

+ Collaborate with business leaders to understand challenges and objectives, identify opportunities, and propose solutions

+ Analyze large, complex datasets to identify trends, patterns, and insights

+ Develop and implement advanced statistical models to solve complex business problems

+ Validate and interpret model results to provide actionable recommendations

+ Coordinate with cross-functional teams to ensure timely and successful completion of projects

+ Present findings and recommendations to stakeholders

**Use your skills to make an impact**

**Role Essentials**

+ Bachelor's Degree in Data Science, Computer Science, Statistics, Mathematics or other quantitative discipline

+ 4 years or more of experience in data science or analytics

+ Experience manipulating and analyzing various types of data using Python, SAS, R, or similar software

+ Demonstrated experience in creating projections, models, and presentations to support business strategy and operations

+ Clear and concise oral and written communication skills, with a proven ability to translate complex methodologies and analytical results to higher-level business insights and key takeaways

**Role Desirables**

+ Advanced in Python programming and predictive modeling

+ Experience with data visualization tools such as Power BI, Tableau, RShiny

+ Work experience in a health care and/or insurance setting

+ Proficiency in understanding the CMS Star Rating program, including measures within it

+ Experience developing solutions using Databricks, Azure Synapse and/or other cloud-based computing platforms

+ Expertise in machine learning and stochastic modeling techniques

**Additional Information**

As part of our hiring process for this opportunity, we will be using an interviewing technology called HireVue to enhance our hiring and decision-making ability. HireVue allows us to quickly connect and gain valuable information from you pertaining to your relevant skills and experience at a time that is best for your schedule.

To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria:

At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested.

Satellite, cellular and microwave connection can be used only if approved by leadership.

Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.

Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job.

Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

**Scheduled Weekly Hours**

40

**Pay Range**

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.

$89,000 - $121,400 per year

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

**Description of Benefits**

Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.

Application Deadline: 04-10-2025

**About us**

Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.

**Equal Opportunity Employer**

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or veteran status. It is also the policy of Humana to take affirmative action to employ and to advance in employment, all persons regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?source=Humana_Website.

**Summary:**

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

**Required Skills:**

Data Scientist, Product Analytics Responsibilities:

1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches

2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses

3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends

4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations

5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

**Minimum Qualifications:**

Minimum Qualifications:

6. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)

7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience

8. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)

**Preferred Qualifications:**

Preferred Qualifications:

9. Master's or Ph.D. Degree in a quantitative field

**Public Compensation:**

$173,000/year to $242,000/year + bonus + equity + benefits

**Industry:** Internet

**Equal Opportunity:**

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

**Become a part of our caring community and help us put health first**

The Enterprise AI organization at Humana is a pioneering force, driving AI innovation across our Insurance and CenterWell business segments. By collaborating with world-leading experts, we are at the forefront of delivering cutting-edge AI technologies for improving care quality and experience of millions of consumers. We are actively seeking top talent to develop robust and reusable AI modules and pipelines, ensuring adherence to best practices in accountable AI for effective risk management and measurement. Join us in shaping the future of healthcare through AI excellence.

We are seeking a Senior Data Scientist to develop reliable, interpretable, and steerable AI systems. Our goal is to create safe AI solutions that will revolutionize and improve healthcare experience and outcomes for our customers. Join our rapidly expanding team of dedicated data scientists, engineers, policy experts, and business leaders as we work together to build impactful and beneficial AI systems.

**Key** **R** **esponsibilities**

+ Develop data science initiatives, leveraging insights to influence strategic decisions at Enterprise AI.

+ Foster collaboration among data scientists, software engineers, and key stakeholders to deliver impactful AI solutions that drive business value.

+ Develop and maintain complex machine learning models and algorithms.

+ Build machine learning models and integrate them into our production system.

+ Create reports, projections, models, and presentations to support business.

**Use your skills to make an impact**

**Required Qualifications**

+ Master's Degree and 3+ years of experience in research/ML engineering or an applied research scientist position preferably with a focus on developing production-ready AI solutions.

+ Proficiency in SQL, Python, and data analysis/data mining tools.

+ Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch

+ Experience with high performance, large-scale ML systems

+ Experience with language modeling with transformers

+ Experience with reinforcement learning

+ Experience with large-scale ETL

**Preferred Qualifications**

+ Ph.D. in Computer, Science, Data Science, Machine Learning, or a related field

**Additional Information**

**Location/Work Style:** Remote US

**Why Humana?**

At Humana, we know your well-being is important to you, and it’s important to us too. That’s why we’re committed to making resources available to you that will enable you to become happier, healthier, and more productive in all areas of your life. Just to name a few:

+ Work-Life Balance

+ Generous PTO package

+ Health benefits effective day 1

+ Annual Incentive Plan

+ 401K - Excellent company match

+ Well-being program

+ Paid Volunteer Time Off

If you share our passion for helping people, we likely have the right place for you at Humana.

**Work at Home Guidance**

To ensure Home or Hybrid Home/Office associates’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office associates must meet the following criteria:

+ At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested

+ Satellite, cellular and microwave connection can be used only if approved by leadership

+ Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.

+ Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job.

+ Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information

**SSN Alert Statement**

Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from Humana@myworkday.com with instructions on how to add the information into your official application on Humana’s secure website.

**Scheduled Weekly Hours**

40

**Pay Range**

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.

$117,600 - $161,700 per year

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

**Description of Benefits**

Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.

Application Deadline: 04-06-2025

**About us**

Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.

**Equal Opportunity Employer**

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or veteran status. It is also the policy of Humana to take affirmative action to employ and to advance in employment, all persons regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?source=Humana_Website.

**Become a part of our caring community and help us put health first**

The Enterprise AI organization at Humana is a pioneering force, driving AI innovation across our Insurance and CenterWell business segments. By collaborating with world-leading experts, we are at the forefront of delivering cutting-edge AI technologies for improving care quality and experience of millions of consumers. We are actively seeking top talent to develop robust and reusable AI modules and pipelines, ensuring adherence to best practices in accountable AI for effective risk management and measurement. Join us in shaping the future of healthcare through AI excellence.

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of reliable, interpretable, and steerable AI systems. Our goal is to create safe AI solutions that will revolutionize and improve healthcare experience and outcomes for our customers. Join our rapidly expanding team of dedicated data scientists, engineers, policy experts, and business leaders as we work together to build impactful and beneficial AI systems.

**Key** **R** **esponsibilities**

+ Manage the execution of data science strategies and initiatives, includingthe design, development and implementation.

+ Guide and execute the strategic decision in collaborationwith data scientists, software engineers, and stakeholders to deliver high impact AI use case solutions.

+ Lead the development and maintenance ofcomplex machine learning models and algorithms.

+ Lead and oversee the development of advanced machine learning models, ensuring their seamless integration into our production systems.

+ Design and implement robust monitoring capabilities to maintainoptimal performance and reliability.

+ Experience in creating reports, projections, models, and presentations to executives.

**Use your skills to make an impact**

**Required Qualifications**

+ Master's Degree and 5+ years of experience in research/ML engineering or an applied research scientist position preferably with a focuson developing production-ready AI solutions.

+ 2+ years of experience leading development of AI/ML systems.

+ Proficiency in SQL, Python, and data analysis/data mining tools.

+ Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch.

+ Experience with high performance, large-scale ML systems.

+ Experience with language modeling with transformers.

+ Experience with reinforcement learning.

+ Experience with large-scale ETL.

**Preferred Qualifications**

+ Ph.D. in Computer, Science, Data Science, Machine Learning, or a related field.

**Additional Information**

**Location/Work Style:** Remote US

**Why Humana?**

At Humana, we know your well-being is important to you, and it’s important to us too. That’s why we’re committed to making resources available to you that will enable you to become happier, healthier, and more productive in all areas of your life. Just to name a few:

+ Work-Life Balance

+ Generous PTO package

+ Health benefits effective day 1

+ Annual Incentive Plan

+ 401K - Excellent company match

+ Well-being program

+ Paid Volunteer Time Off

If you share our passion for helping people, we likely have the right place for you at Humana.

**Work at Home Guidance**

To ensure Home or Hybrid Home/Office associates’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office associates must meet the following criteria:

+ At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested

+ Satellite, cellular and microwave connection can be used only if approved by leadership

+ Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.

+ Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job.

+ Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information

**SSN Alert Statement**

Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from Humana@myworkday.com with instructions on how to add the information into your official application on Humana’s secure website.

**Scheduled Weekly Hours**

40

**Pay Range**

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.

$142,300 - $195,700 per year

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

**Description of Benefits**

Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.

Application Deadline: 04-06-2025

**About us**

Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.

**Equal Opportunity Employer**

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or veteran status. It is also the policy of Humana to take affirmative action to employ and to advance in employment, all persons regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?source=Humana_Website.

At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we're focused on using technology to improve healthcare. Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference.

We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers.

As a Full Stack Data Scientist and a key member of our AI CoE, you'll play a pivotal role in driving this transformation. You'll work closely with business stakeholders to understand their needs and translate them into actionable data-driven solutions. You will be responsible for building and maintaining robust machine learning models and GenAI solutions, designing intuitive user interfaces, and ensuring seamless integration with our existing systems.

This role is looking for a highly skilled and versatile engineer who can bridge the gap between machine learning and front-end development. The ideal candidate will have a strong understanding of both areas and be able to apply their knowledge to build innovative and user-friendly applications.

**Responsibilities**

+ Develop intuitive and user-friendly web applications using modern front-end frameworks (e.g., React, Angular, Vue.js) to showcase and interact with your ML/GenAI solutions.

+ Strong understanding of React components, state management, and lifecycle methods.

+ Ability to build complex and performant user interfaces.

+ Develop and deploy Machine Learning (ML) models: Design, train, and optimize machine learning models for a variety of applications like forecasting, classification and categorization systems, and churn prediction.

+ Develop, integrate and maintain Generative AI (GenAI) solutions: Explore and implement GenAI technologies, like large language models (LLMs), to enhance existing applications or create new GenAI-based solutions. This includes working with RAG technologies, embedding models, and crafting effective prompts for LLMs. Ensure the reliable and scalable deployment; and support and maintenance of GenAI models in production environments.

+ Construct robust APIs: Design and implement RESTful APIs to integrate your ML models or GenAI solutions with other applications and systems within the organization.

+ Build and maintain end-to-end ML pipelines: Design, develop, and maintain robust and scalable ML pipelines, encompassing data ingestion, feature engineering, model training, deployment, and monitoring.

+ Ensure scalability and performance: Design and implement solutions to ensure that your ML and GenAI applications are scalable, efficient, and performant, even with large volumes of data and usage.

+ Create compelling data visualizations: Develop interactive and insightful visualizations to communicate the results of your data analysis and ML/GenAI models to stakeholders

+ Collaborate with cross-functional teams: Work closely with principal and senior data scientists, data engineers, business analysts, and product and project managers to ensure successful delivery of projects.

+ Stay current on the latest trends in AI: Actively seek out and experiment on new ML and GenAI technologies and approaches to enhance your skillset, and the performance and efficiency of your ML/GenAI models. This includes active participation in internal events like AI CodeJam.

**Qualifications**

+ Bachelor’s degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred.

+ At least 4 years of experience as a Full Stack Machine Learning Engineer or similar role preferred

+ Experience including HTML, HTML5, CSS3 and JavaScript (React preferred), Angular, Vue.js, Python, Java, Node.js, Flask/Django, FastAPI, PostgreSQL.

+ Experience with popular React libraries and tools (e.g., Redux, React Router, Styled Components).

+ Experience in DevOps tools like Docker, Kubernetes, Airflow; version control using Git and CI/CD piplelines using Concourse

+ Knowledge of clinical domain and datasets.

+ Knowledge of REST, Apigee, Microservices preferred

+ Experience in Generative AI, RAG implementation, re-ranking, Large Language Models (LLMs), LangChain, LlamaIndex, Hugging Face, Vector databases, Embedding models, Prompting techniques.

+ Experience with Machine Learning and related technologies such as Jupiter Notebooks, RAG, NumPy, Pandas, Scikit-learn, Tensor-Flow, Pytorch, Supervised and Unsupervised learning, Deep learning, Model evaluation

+ Understanding of cloud data engineering and integration concepts including GCP, Vertex AI, Cloud functions, Compute Engine, Cloud storage.

+ Strong mathematical and statistical skills.

+ 2+ years in the Healthcare industry and knowledge of clinical data preferred.

+ Delivery experience with Google Cloud Platform preferred.

+ Agile development skills and experience preferred.

+ Experience designing and developing machine learning and deep learning solutions and systems.

+ Experience using statistical analysis to determine data modeling approach, training machine learning tests and experiments.

+ Experience possessing deep functional and technical understanding of the Machine Learning technologies (Google’s Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged within the Commercial Technologies and/or Business landscape.

+ Experience mining and analyzing large structured and unstructured datasets.

+ Experience identifying the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions.

+ Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production

+ Experience in model training, model evaluation, model optimization, ML system architecture design, and scalable ML model deployment

+ Experience building large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam

+ Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks.

+ Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., (GCP)

+ Experience interacting with REST APIs and microservices

+ Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment.

**What is expected of you and others at this level**

+ Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects

+ Recommends new practices, processes, metrics, or models

+ Works on complex projects of large scope projects may have significant and long-term impact

+ Provides solutions which may set precedent

+ Collaborate with stakeholders for completion of new projects

**Anticipated salary range:** $93,500 - $133,600

**Bonus eligible:** No

**Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being.

+ Medical, dental and vision coverage

+ Paid time off plan

+ Health savings account (HSA)

+ 401k savings plan

+ Access to wages before pay day with myFlexPay

+ Flexible spending accounts (FSAs)

+ Short- and long-term disability coverage

+ Work-Life resources

+ Paid parental leave

+ Healthy lifestyle programs

**Application window anticipated to close:** 1/26/2025 *if interested in opportunity, please submit application as soon as possible.

The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate’s geographical location, relevant education, experience and skills and an evaluation of internal pay equity.

\#LI-Remote

\#LI-AP4

_Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._

_Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._

_To read and review this privacy notice click_ here (https://www.cardinalhealth.com/content/dam/corp/email/documents/corp/cardinal-health-online-application-privacy-policy.pdf)

NLP & LLM Data Scientist – Healthcare & Life Sciences

Company: Norstella

Location: Remote, United States

Date Posted: Apr 4, 2025

Employment Type: Full Time

Job ID: R-1069

**Description**

**About Norstella**

At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker—and help patients in need.

Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle —and get the right treatments to the right patients at the right time.

Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients:

+ Citeline – accelerate the drug development cycle

+ Evaluate – bring the right drugs to market

+ MMIT – identify barrier to patient access

+ Panalgo – turn data into insight faster

+ The Dedham Group – think strategically for specialty therapeutics

By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics.

As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India.

**Job Description :**

Norstella Real World Data (RWD) is seeking a skilled NLP Data Scientist with clinical background with a focus on Language Models to join our AI & Life Sciences Solutions team. Your expertise in processing and understanding natural language data, along with your knowledge of Electronic Health Records (EHR) and laboratory reports analysis, will be instrumental in driving our data science initiatives and innovations, particularly in the development of rich multimodal real-world datasets to expedite RWD-driven drug development in pharma.

**Responsibilities:**

+ Employ and leverage NLP and open-source Large Language Models (LLM) such as LLama2, Mixtral, Qwen, BERT, etc., to extract, process, and interpret unstructured medical data from diverse sources like EHRs, medical notes, and laboratory reports.

+ Collaborate with clinical scientists and data scientists to create efficient NLP models for healthcare, exhibiting an understanding of both the technical and medical aspects of the data.

+ Conduct data cleaning, preprocessing, and validation to maintain the accuracy and reliability of insights gathered from NLP processes.

+ Validate and present data findings to stakeholders, exhibiting clear and effective communication skills.

**Qualifications:**

+ Master's or Ph.D. degree in Computational Biology, Computer Science, Data Science, Computational Linguistics, Machine Learning, or a related analytical field.

+ Deep understanding and direct experience (2+ years) in handling and interpreting either Electronic Health Records (EHR) and laboratory tests results or genetic test results is a must.

+ Proven experience (2+ years) in NLP with a strong knowledge of NLP techniques such as Named Entity Recognition (NER), text summarization, topic modeling, etc. and their applied use in healthcare.

+ Expert-level understanding and practical experience (1+ years) with open-source Large Language Models (Llama2/3, Mixtral etc.), e.g., prompt engineering, inference, and fine-tuning.

+ Proficient in Python and SQL, with strong experience in NLP libraries such as NLTK, spaCy, Hugging face Transformers, and deep learning libraries such as PyTorch, TensorFlow.Familiarity with common data science and ML practices, e.g., version control systems, agile methodologies, and documentation.

+ Experience in working with AWS cloud environment and large databases (e.g., AWS redshift).

+ Experience in managing ML lifecycle using open-source tools (e.g., MLflow).Detail-oriented with strong analytical and problem-solving abilities.

+ Excellent verbal and written communication skills, with ability to present complex data to non-technical audience.

**Preferred Qualifications:**

+ Experience dealing with protected health information (PHI) and familiarity with healthcare-related data privacy laws such as HIPAA.

+ Familiarity with standard healthcare codes and terminologies such as ICD-10, CPT, LOINC, and SNOMED CT.

+ Experience in RAG (Retrieval-Augmented Generation) and vector store in the context of storing large volume of healthcare unstructured documents and querying those.

**Benefits:**

Medical and prescription drug benefits

Health savings accounts or flexible spending accounts

Dental plans and vision benefits

Basic life and AD&D Benefits

401k retirement plan

Short- and Long-Term Disability

Paid parental leave

Paid time off

principles for success at Norstella

**01: Bold, Passionate, Mission-First**

We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do.

**02: Integrity, Truth, Reality**

We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn’t. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals.

**03: Kindness, Empathy, Grace**

We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication.

**04: Resilience, Mettle, Perseverance**

We will persevere – even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission.

**05: Humility, Gratitude, Learning**

We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking.

The expected base salary for this position ranges from $140,000 to $200,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus.

_Norstella is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, color, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people’s differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success. We believe that all decisions about people at work should be based on the individual’s abilities, skills, performance and behavior and our business requirements. Norstella operates a zero-tolerance policy to any form of discrimination, abuse or harassment._

_Sometimes the best opportunities are hidden by self-doubt. We disqualify ourselves before we have the opportunity to be considered. Regardless of where you came from, how you identify, or the path that led you here- you are welcome. If you read this job description and feel passion and excitement, we’re just as excited about you._

Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.

Job Title : Clinical Lab Scientist I

Location : Oro Valley, AZ

Type: Contract, Potential for extension or conversion to permanent

Overview

Responsible for performing high complexity laboratory testing on clinical specimens, interpreting and reporting results and complying with study protocols, Standard Operating Procedures, Test Instructions, and related CAP/CLIA Regulations and guidelines. Participates in scientific studies and activities supporting registrational and non-registrational clinical trials. Receives general instructions; plans and executes own work.

Responsibilities

+ Works under general supervision, to support aspects of clinical testing and sample processing, adhering to CAP/CLIA regulations and ISO 15189 guidelines.

+ Performs high-complexity testing within the CDx CAP/CLIA Laboratory. Monitors performance of IHC, ISH, molecular assays, and immunoassays; assists with lab failure investigations and root cause analysis.

+ Performs accessioning of biological samples (blood, plasma, tissue) and quality control of demographic data input. Communicates with clients on held and rejected samples.

+ Performs work according to established internal safety guidelines and procedures, and as specified by appropriate regulatory agencies (SHE, OSHA)

+ Critically evaluated quality control and test results against acceptance criteria to support clinical testing.

+ Uses technical writing skills and Good Documentation Practices to complete lab documentation, SOPs, and Quality documents.

+ Participate in routine lab maintenance and lab safety inspections.

+ May perform basic troubleshooting for issues related to instrumentation.

+ Analyzes alternative approaches to solve problems or develop new perspectives on existing solutions; initiate and implement process improvements.

+ Other duties as assigned by management.

Requirements

Formal Training/Education

+ Bachelor's Degree - Must possess a BS or BA degree in a related discipline

Experience

+ 1 year experience working in a clinical laboratory

+ Immunohistochemistry (IHC), chromogenic in-situ hybridization (ISH), histology lab experience (CAP/CLIA), immunoassays and molecular biology experience.

Knowledge, Skills and Abilities

+ Demonstrated proficiency in computer skills, such as word processing, statistical analysis, and

+ laboratory information systems.

+ Excellent verbal and written communication skills.

+ Strong understanding of good laboratory practices and regulatory compliance.

+ Requires excellent attention to detail; ability to multi-task and be flexible with tasks and schedules.

Travel Requirements

+ As needed Based on business needs

Benefits

System One offers eligible employees health and welfare benefits coverage options, including medical, dental, vision, spending accounts, life insurance, voluntary plans, and participation in a 401(k) plan.

Ref: #568-Clinical

System One, and its subsidiaries including Joulé, ALTA IT Services, CM Access, TPGS, and MOUNTAIN, LTD., are leaders in delivering workforce solutions and integrated services across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible full-time employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

**Sr. Data Scientist Job Description**

At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience.

We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change.

**Why Join Cardinal Health's AI CoE?**

+ Make a Real Difference: Contribute to cutting-edge solutions that improve patient care, enhance healthcare operations, and drive positive change in the industry.

+ Work with a Passionate Team: Join a team of highly skilled data scientists who are committed to pushing the boundaries of AI in healthcare.

+ Grow and Develop: Access opportunities for professional growth, mentorship, and development within a dynamic and innovative environment

**Responsibilities:**

+ Lead the Development of Innovative AI solutions: You will be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry. This will involve leveraging your expertise in areas such as:

+ Machine Learning (ML): Developing advanced ML models for forecasting, classification, risk prediction, and other critical applications.

+ Generative AI: Exploring and leveraging the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction.

+ RAG Technologies: Building robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs.

+ Shape Our AI Strategy: You will work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. You will be a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives.

+ Guide and Mentor a Team of Data Scientists and ML Engineer: You will provide technical guidance, mentorship, and support to a team of skilled geographically distributed data scientists, fostering a collaborative and innovative environment that encourages continuous learning and growth.

+ Embrace a AI-Driven Culture: You will foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care.

**Qualifications:**

+ 8-12 years of experience, preferred

+ Bachelor's degree in computer science or related field, or equivalent work experience, preferred

+ Proven AI/ML Expertise: Minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions.

+ GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases.

+ Healthcare Data Acumen: Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred.

+ Cloud Computing Expertise: Experience working with cloud platforms like Google Cloud Platform (GCP), Azure, or AWS for data processing, model training, evaluation, monitoring, deployment and support.

+ Leadership and Communication: Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences.

+ Strong Technical Skills: Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools.

+ CI/CD Automation: Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments.

+ REST API Development: Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems.

+ Software Engineering Best Practices: Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations.

+ Data Engineering: Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling.

+ Agile Methodologies: Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices.

+ DevSecOps: Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle

**Anticipated salary range:** $121,600 - $173,700

**Bonus eligible:** Yes

**Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being.

+ Medical, dental and vision coverage

+ Paid time off plan

+ Health savings account (HSA)

+ 401k savings plan

+ Access to wages before pay day with myFlexPay

+ Flexible spending accounts (FSAs)

+ Short- and long-term disability coverage

+ Work-Life resources

+ Paid parental leave

+ Healthy lifestyle programs

**Application window anticipated to close:** 4/10/2025 *if interested in opportunity, please submit application as soon as possible.

_Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._

_Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._

_To read and review this privacy notice click_ here (https://www.cardinalhealth.com/content/dam/corp/email/documents/corp/cardinal-health-online-application-privacy-policy.pdf)

**Job Description**

**Senior Principal Scientist (Senior Director), Health Economic and Decision Sciences (HEDS)**

**Description**

We are a research-driven biopharmaceutical company. Our mission is built on the simple premise that if we “follow the science”, great medicines can make a significant impact to our world. And we believe that a research-driven enterprise dedicated to world-class science can succeed by inventing medicine and vaccine innovations that make a difference for patients across the globe.

We have an exciting opportunity for a new Principal Scientist to join our Health Economic and Decision Sciences (HEDS) group. The preferred locations are US (Rahway, NJ; West Point, PA); Canada, Mexico or South America.

The Health Economic and Decision Sciences (HEDS) department is part of our Company’s Biostatistics and Research Decision Sciences (BARDS) organization. BARDS is responsible for strategic design and analysis to enable informed decision making in the discovery, development and delivery of Our Company’s innovative products, and is a leader in quantitative scientific methodology and its application to enable the targeting, discovery, development, manufacturing, and marketing of drugs and vaccines for the benefit of patients and global public health. In collaboration with internal and external partners, the BARDS-HEDS department specifically provides strategic and technical leadership to enable patient access, measure and quantify the value of Our Company's products, inform internal and external decisions, and shape methodology and external health policy and practice.

This position will focus on health economic model adaptations for local markets across Latin America (LATAM) region. Under the guidance of the Executive Director in HEDS, the incumbent will share with local markets the responsibility for local adaptation of global Health Economics Models in the region aligned with Value & Implementation strategies and Local Market Access priorities. A close collaboration with global/ regional teams and local markets including different functions, such as: Regional and Local Market Access leads, Regional Outcomes Research leads, Global Health Economics leads and Global Outcomes Research leads, is required to ensure consistency and alignment with strategies. This job will require 15-20% of travel primarily within the LATAM region.

**Primary responsibilities:**

+ Shares with local markets the responsibility for health economic model adaptations for markets in the region.

+ Works with local and regional Market Access/Outcomes Research/Value & Implementation to plan for health economic model adaptation needs in the region.

+ Works with local and HQ teams to align on market and product-specific health economic strategies.

+ Works with local, regional and HQ teams to plan for model inputs.

+ Conducts or supervises the execution of health economic model adaptations.

+ Ensures quality of health economic model adaptations.

+ In markets that prefer to conduct model adaptation using a qualified local supplier or by internal Company staff:

+ Ensures qualification of the local supplier and/or local Company staff,

+ Ensures appropriate training of the health economic models and model adaptation guides,

+ Critically reviews inputs and outputs of local health economic analysis to ensure quality.

+ Develops model adaptations report for training purpose.

+ Supports training of adapted health economic models for local and regional OR and market access teams.

+ Assists local and regional OR and market access colleagues answering any questions coming from the HTA bodies/decision makers.

+ Coordinates and aligns with internal stakeholders to achieve consistent, high quality and timely model adaptations.

+ Manages 3-4 contractors conducting health economic model adaptations.

+ Works on modeling methodological advancement relevant for the regions.

+ Develops guidance to consistently improve our Ways of Working to be more efficient in all the phases of health economic model adaptations.

**Position Qualifications**

**Education Requirement**

+ PhD (preferred) or Master’s degree, in Health Economics, Outcomes Research, Biostatistics, Health Services Research, Actuarial Sciences or a closely related, quantitative field

**Required Experience and Skills**

+ A minimum of 5 years’ experience in health economics and modeling working for a Pharma company or in an external supplier.

+ Experience submitting health economic models to HTA bodies, decision makers in markets in the covered region and understanding of their requirements.

+ Excellent interpersonal, communication and project management skills.

+ Ability to work cross-functionally with strong collaborative mindset.

+ Strong Leadership skills, with experience in managing resources, budget and driving implementation.

+ Fluency in English and Spanish.

BARDS2020

\#eligibleforERP

Current Employees apply HERE (https://wd5.myworkday.com/msd/d/task/1422$6687.htmld)

Current Contingent Workers apply HERE (https://wd5.myworkday.com/msd/d/task/1422$4020.htmld)

**Secondary Language(s) Job Description**

Scientifique principal principal (directeur principal), sciences de l'économie de la santé et de la décision (HEDS)

Description

Nous sommes une entreprise biopharmaceutique axée sur la recherche. Notre mission est construite sur la simple prémisse que si nous « suivons la science », les excellents médicaments peuvent avoir un impact significatif sur notre monde. Et nous croyons qu'une entreprise axée sur la recherche dédiée à la science de classe mondiale peut réussir en inventant des innovations en matière de médecine et de vaccins qui font une différence pour les patients du monde entier.

Nous avons une opportunité passionnante pour un nouveau scientifique principal de rejoindre notre groupe de sciences économiques et décisionnelles de la santé (HEDS). Les emplacements préférés sont les États-Unis (Rahway, NJ ; West Point, PA) ; le Canada; le Mexique ou l'Amérique du Sud.

Le département des sciences de l'économie et de la décision de la santé (HEDS) fait partie de l'organisation Biostatistics and Research Decision Sciences (BARDS) de notre entreprise. BARDS est responsable de la conception et de l'analyse stratégiques pour permettre une prise de décision éclairée dans la découverte, le développement et la livraison des produits innovants de notre entreprise, et est un chef de file de la méthodologie scientifique quantitative et de son application pour permettre le ciblage, la découverte, le développement, la fabrication et la commercialisation de médicaments et de vaccins au profit des patients et de la santé publique mondiale. En collaboration avec des partenaires internes et externes, le département BARDS-HEDS fournit spécifiquement un leadership stratégique et technique pour permettre l'accès des patients, mesurer et quantifier la valeur des produits de notre entreprise, éclairer les décisions internes et externes, et façonner la méthodologie et la politique et la pratique de la santé externe.

Ce poste se concentrera sur les adaptations du modèle économique de santé pour les marchés locaux de la région de l'Amérique latine (LATAM). Sous la direction du directeur exécutif de HEDS, le titulaire partagera avec les marchés locaux la responsabilité de l'adaptation locale des modèles mondiaux d'économie de la santé dans la région alignés sur les stratégies de valeur et de mise en œuvre et les priorités d'accès au marché local. Une collaboration étroite avec les équipes mondiales/régionales et les marchés locaux, y compris différentes fonctions, telles que : les responsables de l'accès aux marchés régionaux et locaux, les responsables de la recherche sur les résultats régionaux, les responsables de l'économie de la santé mondiale et les responsables de la recherche sur les résultats mondiaux, est nécessaire pour assurer la cohérence et l'alignement avec les stratégies. Cet emploi nécessitera 15 à 20 % de voyages principalement dans la région LATAM.

Principales responsabilités :

• Partage avec les marchés locaux la responsabilité des adaptations du modèle économique de santé pour les marchés de la région.

• Travaille avec l'accès au marché local et régional/la recherche sur les résultats/la valeur et la mise en œuvre pour planifier les besoins d'adaptation du modèle économique de santé dans la région.

• Travaille avec les équipes locales et du siège social pour s'aligner sur les stratégies économiques de santé spécifiques au marché et aux produits.

• Travaille avec les équipes locales, régionales et du siège social pour planifier les entrées du modèle.

• Conduit ou supervise l'exécution d'adaptations du modèle économique de la santé.

• Assure la qualité des adaptations du modèle économique de santé.

• Sur les marchés qui préfèrent procéder à l'adaptation du modèle en utilisant un fournisseur local qualifié ou par le personnel interne de notre entreprise :

O Assure la qualification du fournisseur local et/ou du personnel local de notre entreprise,

O Assure une formation appropriée des modèles économiques de la santé et des guides d'adaptation des modèles,

O examine de manière critique les entrées et les résultats de l'analyse économique de la santé locale pour assurer la qualité.

• Élabore un rapport d'adaptation du modèle à des fins de formation.

• Soutient la formation de modèles économiques de santé adaptés pour les équipes locales et régionales d'OR et d'accès au marché.

• Aide les collègues locaux et régionaux de l'OR et de l'accès au marché à toute question provenant des organes/décideurs de l'HTA.

• Coordonne et s'aligne avec les parties prenantes internes pour réaliser des adaptations de modèle cohérentes, de haute qualité et opportunes.

• Gère 3 à 4 entrepreneurs effectuant des adaptations du modèle économique de santé.

• Travaille à la modélisation de l'avancement méthodologique pertinent pour les régions.

• Élabore des directives pour améliorer constamment nos méthodes de travail afin d'être plus efficaces dans toutes les phases des adaptations du modèle économique de la santé.

Qualifications du poste

Exigence en matière d'éducation

• Doctorat (de préférence) ou maîtrise, en économie de la santé, recherche sur les résultats, biostatistique, recherche sur les services de santé, sciences actuarielles ou dans un domaine quantitatif étroitement lié

Expérience et compétences requises

• Un minimum de 5 ans d'expérience en économie de la santé et en modélisation pour une société pharmaceutique ou chez un fournisseur externe.

• Expérience de la soumission de modèles économiques de santé aux organismes HTA, aux décideurs sur les marchés de la région couverte et la compréhension de leurs exigences.

• Excellentes compétences en relations interpersonnelles, en communication et en gestion de projet.

• Capacité à travailler de manière interfonctionnelle avec un fort état d'esprit collaboratif.

• Solides compétences en leadership, avec une expérience dans la gestion des ressources, le budget et la mise en œuvre.

• Maîtrise de l'anglais et de l'espagnol.

**US and Puerto Rico Residents Only:**

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here (https://survey.sogosurvey.com/r/aCdfqL) if you need an accommodation during the application or hiring process.

We are an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status, or other applicable legally protected characteristics. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

EEOC Know Your Rights (https://www.eeoc.gov/sites/default/files/2022-10/22-088\_EEOC\_KnowYourRights\_10\_20.pdf)

EEOC GINA Supplement​

Pay Transparency Nondiscriminatio (https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp\_%20English\_formattedESQA508c.pdf) n

We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.

Learn more about your rights, including under California, Colorado and other US State Acts (https://www.msdprivacy.com/us/en/CCPA-notice/)

**U.S. Hybrid Work Model**

Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.

The Company is required to provide a reasonable estimate of the salary range for this job in certain states and cities within the United States. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate’s relevant skills, experience, and education.

Expected US salary range:

$206,200.00 - $324,600.00

Available benefits include bonus eligibility, long term incentive if applicable, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days. A summary of benefits is listed here (https://www.benefitsatmerck.com/) .

**San Francisco Residents Only:** We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

**Los Angeles Residents Only:** We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance

**Search Firm Representatives Please Read Carefully**

Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

**Employee Status:**

Regular

**Relocation:**

No relocation

**VISA Sponsorship:**

No

**Travel Requirements:**

25%

**Flexible Work Arrangements:**

Remote

**Shift:**

Not Indicated

**Valid Driving License:**

No

**Hazardous Material(s):**

n/a

**Job Posting End Date:**

04/11/2025

***A job posting is effective until 11:59:59PM on the day** **BEFORE** **the listed job posting end date. Please ensure you apply to a job posting no later than the day** **BEFORE** **the job posting end date.**

**Requisition ID:** R343165

**Become a part of our caring community and help us put health first**

The Data Scientist II position uses mathematics, statistics, modeling, economic principles, business analysis, and technology to deliver advanced analytic solutions. The ideal candidate for this position is well-versed in a variety of modeling techniques and understands how to navigate ambiguous business challenges. The Data Scientist II position requires an individual who designs and deploys predictive models, with experience implementing their use within business operations.

Member and Provider Analytics, the department this role is a part of, uses data science, business intelligence and Stars expertise to solve meaningful problems for Stars business partners. Our analytics drive Humana’s Stars performance and improve the health and life of our members by transforming data into advanced analytic solutions.

The Stars program is the Centers for Medicare & Medicaid Services (CMS) five‐star quality rating system for measuring Medicare beneficiaries’ experience with their health plans and the health care system. The program is a key component in financing health care benefits for MA and MA‐PD plan enrollees. In addition, the ratings are posted on the Medicare Plan Finder website to help beneficiaries choose the right plan offered in their geography. Quality metrics include screenings and vaccines, managing chronic conditions, member experience with the health plan, member complaints, interactions with providers and customer service. This quality measure of Humana’s Medicare Advantage product offering directly impacts our members’ health.

**Responsibilities**

+ Analyze large, complex datasets to identify trends, patterns, and insights

+ Develop and implement advanced statistical models to solve complex business problems

+ Validate and interpret model results to provide actionable recommendations

+ Translate business requirements into data science solutions

+ Coordinate with cross-functional teams to ensure timely and successful completion of projects

+ Collaborate with business leaders to understand challenges and objectives

+ Present findings and recommendations to stakeholders

**Use your skills to make an impact**

**Required Qualifications**

+ Bachelor's Degree in Data Science, Computer Science, Statistics, Mathematics, Economics or other quantitative discipline

+ 2+ years' experience in a data science or analytics team

+ Experience using concepts in mathematics and statistics to transform complex data into advanced analytic solutions

+ Demonstrated experience in creating projections, models, and presentations to support business strategy and operations

+ Possesses an understanding of how organization capabilities interrelate across departments

+ Advanced in Python programming

+ Must be passionate about contributing to an organization focused on continuously improving, both for our MA members and our business partners

**Preferred Qualifications**

+ Master’s Degree in Data Science, Computer Science, Statistics, Mathematics, Economics or other quantitative discipline

+ Experience developing solutions using Databricks, Azure Synapse and/or other cloud-based computing platforms

+ Demonstrated experience in forecasting and/or simulation model development

+ Proficiency in understanding the CMS Star Rating program, including measures within it

**Scheduled Weekly Hours**

40

**Pay Range**

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.

$89,000 - $121,400 per year

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

**Description of Benefits**

Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.

Application Deadline: 04-06-2025

**About us**

Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.

**Equal Opportunity Employer**

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or veteran status. It is also the policy of Humana to take affirmative action to employ and to advance in employment, all persons regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?source=Humana_Website.