Astronomers

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.

**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.

**Summary:**

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.

**Required Skills:**

Data Scientist Responsibilities:

1. Collect, organize, interpret, and summarize statistical data in order to contribute to the continued growth of company infrastructure.

2. Apply experience in quantitative analysis and data mining to improve, and optimize across a variety of domains with an emphasis on long-term and strategic initiatives.

3. Work cross-functionally to define priorities and develop business intelligence project roadmaps in synergy with partner teams.

4. Drive execution through fast iteration.

5. Ensure coordination of projects across related workflows to maximize impact and avoid duplication and overlaps.

6. Drive efficient data exploration and modeling.

7. Build pragmatic, scalable, and statistically rigorous solutions to large-scale web, mobile and data infrastructure problems by leveraging or developing statistical and machine learning methodologies.

8. Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.

9. Telecommuting is permitted from anywhere in the U.S.

**Minimum Qualifications:**

Minimum Qualifications:

10. Requires a Bachelor’s degree (or foreign equivalent) in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Cognitive Science, or a related field. Requires completion of an undergraduate-level course, research project, or internship involving the following:

11. 1. Quantative Analysis

12. 2. A/B Testing and Research Design

13. 3. Statistical Modeling

14. 4. Data Mining

15. 5. Data Visualization and Storytelling

16. 6. SQL

17. 7. Python.

**Public Compensation:**

$221,024/year to $235,400/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.

**Want a meaningful career where you can make a difference? Edward Jones sounds perfect for you.**

Collaboration. Autonomy. Opportunity. Words our headquarters associates use when talking about working at Edward Jones. Words that describe what it's like being part of a firm where everyone is aligned toward a singular focus: serving the client. And everyone is working to make the firm better together - as they grow as individuals. If these words resonate with you, we should talk.

**Job Overview**

**Position Schedule:** Full-Time

This job posting is anticipated to remain open for 30 days, from 05-Jun-2025. The posting may close early due to the volume of applicants.

**Firm Analytics**

**Senior Data Scientist**

Join the Firm Analytics team and help us unlock the power of data science to solve a wide range of business challenges and improve the people-experience through data-driven capabilities and insights. As a Senior Data Scientist on our team, you will design, develop and deliver data science solutions requiring advanced mathematical methods, statistical and machine learning models in support of data-driven strategies. You will combine data from multiple sources to develop innovative solutions to business problems and collaborate with business partners and other data scientists to develop tailored analytic solutions that inform and influence business decisions across the firm. If you thrive in a collaborative environment, have a learning mindset, and can communicate complex ideas in a straightforward way, this could be the role for you to make a real impact.

**Key Responsibilities:**

+ Work closely with business partners and other data scientists to translate their ideas and requirements into well-formed machine learning problems that enable hyper-personalized experiences for our financial advisors and clients.

+ Interpret and communicate findings and recommendations to stakeholders, translating solutions into meaningful value propositions. Clear communication without technical jargon is important to success.

+ Partner with data engineers and digital product owners to scale and deploy your models into systems.

+ Act as a mentor and help your teammates learn and grow.

+ Stay up to date with industry trends and best practices in optimization techniques and tools.

+ Collaborate on and advocate for adoption of best practices and cutting-edge methods within the team.

Edward Jones' compensation and benefits package includes medical and prescription drug, dental, vision, voluntary benefits (such as accident, hospital indemnity, and critical illness), short- and long-term disability, basic life, and basic AD&D coverage. Short- and long-term disability, basic life, and basic AD&D coverage are provided at no cost to associates. Edward Jones offers a 401k retirement plan, and tax-advantaged accounts: health savings account, and flexible spending account. Edward Jones observes ten paid holidays and provides 15 days of vacation for new associates beginning on January 1 of each year, as well as sick time, personal days, and a paid day for volunteerism. Associates may be eligible for bonuses and profit sharing. All associates are eligible for the firm's Employee Assistance Program. For more information on the Benefits available to Edward Jones associates, please visit our benefits page (https://secure.edwardjonesbenefits.com/fleet/public/index/f914262d-0362-4682-bd1e-0ccd25f1dfb1) .

**Hiring Minimum:** $140400

**Hiring Maximum:** $239100

Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act. Edward Jones is prohibited from hiring individuals with certain specified criminal history as set forth in Section 3(a)(39) and 15(b)(4) and Rule 17a-3(a)(12) of the Securities and Exchange Act of 1934, and conducts background reviews consistent with FINRA Rule 3110(e). A copy of a notice regarding the provisions of the Los Angeles County Fair Chance Ordinance is available at: dcba.lacounty.gov/wp-content/uploads/2024/08/FCOE-Official-Notice-Eng-Final-8.30.2024.pdf .

Read More About Job Overview

**Skills/Requirements**

+ Master of Science Degree in Statistics, Applied Mathematics, Industrial Engineering, Computer Science or related field required. PhD degree desired.

+ 9+ years professional experience with predictive statistical models or numerical optimization, and working with typical data used in such analyses

+ Strong programming skills in one or more programming languages (Python, R, Scala) with demonstrated ability to mentor others at lower skill levels

+ Familiarity with cloud computing platforms and distributed systems for large-scale data processing.

+ Skilled in manipulating data in one or more of (SQL, Snowflake, Databricks)

+ Demonstrated ability to translate data into meaningful value propositions for business partners to facilitate understanding and generate solutions that are in the best interest of the client and firm

***Candidates that live within in a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office three days per week, with preference for Tuesday through Thursday*

Read More About Skills/Requirements

**Awards & Accolades**

At Edward Jones, we are building a place where everyone feels like they belong. We're proud of our associates' contributions to the firm and the recognitions we have received.

Check out our U.S. awards and accolades: Insights & Information Blog Postings about Edward Jones (https://careers.edwardjones.com/blog/?\_sft\_category=awards-accolades)

Check out our Canadian awards and accolades: Insights & Information Blog Postings about Edward Jones (https://careers.edwardjones.com/en-CA/blogs/?\_sft\_category=awards-accolades-en-ca)

Read More About Awards & Accolades

**About Us**

Join a financial services firm where your contributions are valued. Edward Jones is a Fortune 500¹ company where people come first. With over 9 million clients and 20,000 financial advisors across the U.S. and Canada, we're proud to be privately-owned, placing the focus on our clients rather than shareholder returns.

Behind everything we do is our purpose: We partner for positive impact to improve the lives of our clients and colleagues, and together, better our communities and society. We are an innovative, flexible, and inclusive organization that attracts, develops, and inspires performance excellence and a sense of belonging.

People are at the center of our partnership. Edward Jones associates are seen, heard, respected, and supported. This is what we believe makes us the best place to start or build your career.

View our Purpose, Inclusion and Citizenship Report (https://careers.edwardjones.com/blog/edward-jones-releases-annual-purpose-inclusion-and-citizenship-report/?codes=DIRECT&utm\_source=DIRECT) .

¹Fortune 500, published June 2024, data as of December 2023. Compensation provided for using, not obtaining, the rating.

Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law.

\#LI-HO

**Specialty/Competency:** Data, Analytics & AI

**Industry/Sector:** Not Applicable

**Time Type:** Full time

**Travel Requirements:** Up to 80%

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

+ Respond effectively to the diverse perspectives, needs, and feelings of others.

+ Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.

+ Use critical thinking to break down complex concepts.

+ Understand the broader objectives of your project or role and how your work fits into the overall strategy.

+ Develop a deeper understanding of the business context and how it is changing.

+ Use reflection to develop self awareness, enhance strengths and address development areas.

+ Interpret data to inform insights and recommendations.

+ Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

**Minimum Degree Required**

Bachelor's Degree

**Minimum Year(s) of Experience**

4 year(s)

Demonstrates thorough-level abilities and/or a proven record of success managing the identification and addressing of client needs:

+ Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients

+ Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of GenAI and AI solution approach

+ Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and GenAI use cases

+ Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds

+ Processing unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases

+ Support management of daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis;

+ Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements;

+ Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams;

+ Structuring, write, communicate and facilitate client presentations; and,

+ Directing associates through coaching, providing feedback, and guiding work performance.

Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas:

+ Managing AI/GenAI application development teams including back-end and front-end integrations

+ Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL);

+ Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization

+ Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev

+ Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms

+ Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc.

Learn more about how we work: https://pwc.to/how-we-work

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

The salary range for this position is: $84,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

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

The Senior Research Scientist participates in research study design, analysis and interpretation of results, with special emphasis on statistical and analytical plan development; data acquisition, preparation, and management; statistical analysis and interpretation of findings. The Senior Research Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.

The Senior Research Scientist will lead identification, evaluation and development of opportunities that optimize home health delivery, lower medical cost while improving patient health outcomes, through applying mathematical, statistical, and data science methods. The Senior Research Scientist will also partner with stakeholders across the enterprise to identify, prioritize and measure the impact of core and novel solutions to significant problems in home health.

**Responsibilities**

+ Collaborate with strategy to evaluate existing programs and identify and measure new solutions to impact home health.

+ Leverage a wide range of analytics methods ranging from descriptive to prescriptive to transform high volumes of complex data into analytics solutions and actional insights

+ Collaborate with clinicians and clinical to define various clinical concepts and extract clinical information for analytics and modeling purposes

+ Translates analytic results into key takeaways and make recommendations to business partners

+ Begins to influence department’s strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction.

+ Exercises considerable latitude in determining objectives and approaches to assignments.

**Use your skills to make an impact**

**Required Qualifications**

+ Bachelor's degree

+ 5 or more years of technical experience

+ Must be passionate about contributing to an organization focused on continuously improving consumer experiences

+ Python or SQL experience

+ Able to dive deep into data to uncover insights as well as the root causes of issues

+ Advanced knowledge of data, modeling, and optimization tools

**Preferred Qualifications**

+ Master's Degree

+ Power BI experience

+ SAS experience

+ Subject matter expertise of healthcare data (specifically home health)

Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

**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.

$94,900 - $130,500 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: 06-10-2025

**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 protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with 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.

**Responsibilities**

Using knowledge of scientific principles and concepts Facilitates and supports the organization's scientific research programs/projects by applying a wide variety of scientific principles. Plans and executes laboratory research. Supports manuscript preparation and participates in grant writing related to one or more of the organization's scientific research programs

+ Responsible for operational oversight and implementation of funded epidemiologic research program(s)

+ Facilitates research activities in partnership with laboratory PI(s) and Research Administration leveraging scientific experience in related specialty area.

+ Plans and executes epidemiologic research.

+ Participates in appropriate administrative and programmatic committee work.

+ Serves as a liaison for internal and external project sponsors, routinely informing project plans, status updates and milestones through regular reporting.

+ Serves as a liaison for the training of technical personnel in the neuroepidemiology program including post-doctoral fellows, residents, and graduate and undergraduate students

+ Working knowledge of GCP, ICH, DHHS, OIG and FDA regulations and scientific expertise in the assigned area is required along with familiarity of all applicable federal and state regulations and institutional policies.

+ For translational programs, coordinates the process flow of a study from initial concept to IRB through the final study closure. Facilitates feasibility reviews based upon governing policies.

Dignity Health now offers an Education Benefit program for benefit-eligible employees. This program provides debt relief and student loan assistance to help you achieve your goals. Full-time employees can receive up to $18,000 over five years, while part-time employees can receive up to $9,000. While you’re busy impacting the healthcare industry, we’ll take care of you with benefits that include health/dental/vision, FSA, matching retirement plans, paid vacation, and adoption assistance.

**Qualifications**

**MINIMUM**

MD or Ph.D

Proven ability to support research programs.

Solid computer skills. Proficient in MS Office and Google

**PREFERRED**

Five (5) years or equivalent of research-related experience and data analysis following the Ph.D. or M.D. degree.

MD or Ph.D in Epidemiology

Specialized computer analysis program experience

**Overview**

The Barrow Neuro Analytics Center (BNAC) is a data science-focused research facility led by Dr. Brad Racette and co-directed by Dr. Chia-Ling Phuah, that aims to harness the power of big data to advance understanding of neurological diseases and develop new treatments. This 11,000 square foot state-of-the-art dry laboratory space is located in the Park Central Bioscience Hub adjacent to both Barrow Neurological Institute (BNI) and Creighton University School of Medicine Phoenix Health Sciences campus. Housed in BNAC are the Racette Laboratory and Criswell Laboratory, which together make up the Neuroepidemiology Research Program. The Neuroepidemiology Research Program focuses on 1) epidemiologic studies, that elucidate risk factors for neurodegenerative disease, with an emphasis on the environment and neurodegenerative disease; and 2) environmental and occupational risk factors in neurodegeneration, specifically neurotoxicants related to parkinsonism and cognitive impairment. We employ a variety of methods in our research, including field-based epidemiology, advanced neuroimaging, and administrative data studies across three continents.

Our highly multidisciplinary team aims to solve intractable problems, such as the etiology of neurodegenerative diseases using innovative research methods.

"Why Join Us?"

Cutting-Edge Research: Be at the forefront of big data research exploring and decoding the complex patterns of neurological diseases and accelerate the discovery of innovative treatments.

+ Stimulating Environment: Thrive in a stimulating, collegial environment conducive to academic, industry, or diverse career aspirations.

+ Competitive Compensation: Enjoy competitive pay and benefits as you contribute to groundbreaking discoveries in neurosciences.

+ Preferred Skills: Candidates skilled in Epidemiology, Biostatistics, and grant writing

This is your chance to be part of a dynamic team that leverages cutting-edge technologies to unravel the mysteries of the brain. Join us in making a meaningful impact on the future of neurosciences!

**BNAC Website: https://www.barrowneuro.org/barrow-neuro-analytics-center/**

**Pay Range**

$40.66 - $58.96 /hour

We are an equal opportunity/affirmative action employer.

**A Day in the Life:**

At Hertz, we are at the forefront of innovation, leveraging cutting-edge technologies to build the best damage management technologies in the transportation industry. We want the brightest AI & ML minds to join our Damage Science Team to help us develop and/or maintain capabilities to:

+ Detect Damage via Machine Vision: Utilize computer vision techniques to accurately detect and assess damage in real-time.

+ Rationalize Repair Estimates and Invoices with Large Language Models (LLMs): Implement sophisticated LLMs to make intelligent repair routing decisions, ensuring repairs are conducted efficiently and cost-effectively.

+ Forecast Repair Needs: Develop models to predict future repair & maintenance needs based on historical data and trends.

+ Automate Quality Assurance: Create models to evaluate the quality of repairs and ensure they meet our high standards.

We anticipate the salary to start around 160K; commensurate with experience.

What You Will Do:

+ Formulate the strategic and tactical steps to carry out the model development lifecycle end-to-end (i.e. problem statement definition, exploratory data analysis, feature engineering, model development / tuning, and model implementation).

+ Build and maintain descriptive, predictive, and prescriptive models to measure the performance of the new products and services.

+ Cross validating production models to ensure high performance and generalizability

+ Define and implement best practices to generate accurate analytics, reports, visualizations, and dashboards to explain results simply and succinctly to technical, non-technical, and senior management

+ Build partnerships and work cross-functionally to identify use cases and opportunities to enhance operational efficiency and drive business value through positive impact on OKRs.

+ Work with an owner mentality to drive business impact even if that means supporting pipeline creation or decision support analytics.

+ Serve as a voice on how technological advancements in AI and machine learning may impact our business and the opportunities they may create.

+ Provide technical leadership to more junior Data Scientist team members.

What We are Looking For:

+ 5-8 years hands-on experience in a data science role

+ 5+ years of data querying languages (e.g. SQL) and scripting languages (e.g. Python)

+ 5+ years of end-to-end machine learning model development experience (e.g. problem statement definition, exploratory data analysis, feature engineering, model development / tuning, and deployment)

+ Demonstrated experience using machine learning to drive a business impact

+ Strong experience with statistical analysis, statistical modeling, and machine learning techniques

+ Experience mentoring and supporting development of more junior scientists

+ Experience in a ML or data scientist role with a technology company

+ Master's degree in a quantitative field such as statistics, mathematics, data science, economics, or computer science

+ Preferred PhD in a quantitative field such as statistics, mathematics, data science, economics, or computer science

What You’ll Get:

+ Up to 40% off any standard Hertz Rental

+ Paid Time Off

+ Medical, Dental & Vision plan options

+ Retirement programs, including 401(k) employer matching

+ Paid Parental Leave & Adoption Assistance

+ Employee Assistance Program for employees & family

+ Educational Reimbursement & Discounts

+ Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness

+ Perks & Discounts –Theme Park Tickets, Gym Discounts & more

The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world.

**US EEO STATEMENT**

At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture – and our success and reputation as a company.

Individuals are encouraged to apply for positions because of the characteristics that make them unique.

EOE, including disability/veteran

**A Day in the Life:**

At Hertz, we are at the forefront of innovation, leveraging cutting-edge technologies to build the best damage management technologies in the transportation industry. We want the brightest AI & ML minds to join our Damage Science Team to help us develop and/or maintain capabilities to:

+ Detect Damage via Machine Vision: Utilize computer vision techniques to accurately detect and assess damage in real-time.

+ Rationalize Repair Estimates and Invoices with Large Language Models (LLMs): Implement sophisticated LLMs to make intelligent repair routing decisions, ensuring repairs are conducted efficiently and cost-effectively.

+ Forecast Repair Needs: Develop models to predict future repair & maintenance needs based on historical data and trends.

+ Automate Quality Assurance: Create models to evaluate the quality of repairs and ensure they meet our high standards.

The starting salary for this role is $110K; commensurate with experience.

**What You Will Do:**

+ Formulate the strategic and tactical steps to carry out the model development lifecycle end-to-end (i.e. problem statement definition, exploratory data analysis, feature engineering, model development / tuning, and model implementation).

+ Build and maintain descriptive, predictive, and prescriptive models to measure the performance of the new products and services

+ Define and implement best practices to generate accurate analytics, reports, visualizations, and dashboards to explain results simply and succinctly to technical, non-technical, and senior management

+ Build partnerships and work cross-functionally to identify use cases and opportunities to enhance operational efficiency and drive business value through positive impact on OKRs.

+ Work with an owner mentality to drive business impact even if that means supporting pipeline creation or decision support analytics.

**What We are Looking For:**

+ 3-5 years hands-on experience in a data scientist role

+ 3+ years of data querying languages (e.g. SQL) and scripting languages (e.g. Python)

+ 3+ years of end-to-end machine learning model development experience (e.g. problem statement definition, exploratory data analysis, feature engineering, model development / tuning, and deployment)

+ Demonstrated experience using machine learning to drive a business impact

+ Experience in a ML or data scientist role with a technology company

+ Bachelor or Masters degree in Computer Science, or other quantitative discipline such as statistics, mathematics, physics or engineering

**What You’ll Get:**

+ Up to 40% off any standard Hertz Rental

+ Paid Time Off

+ Medical, Dental & Vision plan options

+ Retirement programs, including 401(k) employer matching

+ Paid Parental Leave & Adoption Assistance

+ Employee Assistance Program for employees & family

+ Educational Reimbursement & Discounts

+ Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness

+ Perks & Discounts –Theme Park Tickets, Gym Discounts & more

The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world.

**US EEO STATEMENT**

At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture – and our success and reputation as a company.

Individuals are encouraged to apply for positions because of the characteristics that make them unique.

EOE, including disability/veteran

**A Day in the Life:**

As a Senior Data Scientist, you will play a pivotal role in advancing our data science capabilities. You will lead projects that utilize data to drive decision-making and strategy, particularly in areas such as fleet optimization, operations engineering, ancillary engagement, customer segmentation and experience, and predictive maintenance. You will collaborate with cross-functional teams to deliver impactful insights and contribute to the development of data-driven solutions that enhance our competitive edge.

The starting salary for this role is $90K; commensurate with experience.

**What You’ll Do:**

+ Lead the design, development, and deployment of advanced data models and algorithms to solve complex business problems.

+ Analyze large datasets to extract actionable insights that influence strategic decisions in fleet management, pricing strategies, and customer retention.

+ Collaborate with data engineering, product, and operations teams to integrate data science solutions into business processes and products.

+ Develop and refine predictive models to enhance forecasting accuracy for demand, asset value, and maintenance schedules.

+ Mentor and guide junior data scientists, fostering a culture of learning and innovation within the team.

+ Present findings and recommendations to senior management, translating complex technical concepts into clear and actionable business strategies.

+ Stay abreast of industry trends, emerging technologies, and best practices in data science to continually improve our capabilities.

+ Work with stakeholders to identify and prioritize data science projects that align with business goals.

**What We’re Looking For:**

+ **Education:** Master’s Degree or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related field required.

+ **Experience:** 5+ years of experience in data science, with a proven track record of delivering impactful projects, preferably in the rental car, automotive, or transportation industries.

+ **Technical Skills:**

+ Proficiency in programming languages such as Python, R, or Scala.

+ Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

+ Strong knowledge of data visualization tools (e.g., Tableau, Power BI).

+ Expertise in working with large datasets and databases (SQL, NoSQL, Hadoop, Spark).

+ Experience with cloud platforms (e.g., AWS, Google Cloud, Azure).

+ **Analytical Skills:** Strong problem-solving skills with the ability to translate business problems into data-driven solutions.

+ **Communication:** Excellent verbal and written communication skills, with the ability to present complex concepts to non-technical stakeholders.

+ **Leadership:** Proven ability to lead and mentor a team of data scientists, driving both individual and collective growth.

**What’s In It For You:**

+ Up to 40% off the base rate of any standard Hertz Rental

+ Paid Time Off

+ Medical, Dental & Vision plan options

+ Retirement programs, including 401(k) employer matching

+ Paid Parental Leave & Adoption Assistance

+ Employee Assistance Program for employees & family

+ Educational Reimbursement & Discounts

+ Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness

+ Perks & Discounts –Theme Park Tickets, Gym Discounts & more

The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world.

**US EEO STATEMENT**

At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture – and our success and reputation as a company.

Individuals are encouraged to apply for positions because of the characteristics that make them unique.

EOE, including disability/veteran