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Senior Data Scientist-RWE

ADVI Health


Job Location:

Washington, DC - USA

Monthly Salary: $ 126000 - 158000
Posted: 22 May 2026 (30+ days ago)
Application Deadline: 19 August 2026
Vacancies: 1 Vacancy
The job posting is outdated and position may be filled

Job Summary

About Us

ADVI Health: Expert Advice. Clear Vision.

Since 2013 clients have sought ADVI Healths expert advice informed by data and guided by a clear vision of the complex intersection of life sciences/healthcare innovation economics policy and patient impact. Our aim is to be the leading and most knowledgeable go-to-market access and commercialization partner for life sciences and healthcare innovators worldwide.



We are a collaborative team of consultants and advisors all of whom are veterans of top healthcare and life sciences organizations the federal government state government top consultants nonprofits commercial payers or data and analytics companies. Our work cuts through complexity across asset franchise corporate and executive level strategy shapes markets and enables therapies to launch faster smarter and at scale in multiple therapeutic areas lifecycle stages and areas of the world. Our global client roster includes biopharma manufacturers MedTech precision medicine diagnostics and tools companies and cancer provider and patient organizations from the C-suite down and across the product lifecycle. We solve complicated problems with data-informed commercialization market access and policy expertise. Based in Washington DC and Austin TX the company delivers insight- and data-informed advice and vision for leaders in healthcare business and policy. ADVI offers a comprehensive perspective by integrating business policy and science to find creative solutions through data learned insight and compelling strategy to help clients make decisions across all healthcare segments.



ADVI is at the forefront of healthcare delivery transformation payment reform public and private payer coverage and healthcare merger and acquisition deal flow within the US and abroad. To learn more... visit us at



Overview

We are seeking a passionate HEOR/RWE Senior Data Scientist to join our growing Strategic Analytics Value and Economics this role youll leverage advanced data science and health economics methods to help shape access to life-saving therapies and innovations. Youll work with rich real-world healthcare data including Medicare and Medicaid claims to uncover insights that directly inform policy pricing and patient access decisions across the life sciences sector. This position offers the opportunity to apply your analytical expertise to real-world evidence (RWE) health outcomes and market access challenges while making a measurable impact on how treatments reach the patients who need them most.

Analytics and coding work will include health economics and outcomes research (HEOR) market basket assessment of diseases or treatment usage and related evidence-generation studies for pharma clients.


Job Duties


Design and execute rigorous analyses of Medicare Medicaid and commercial healthcare claims data to generate real-world evidence supporting HEOR value and market access initiatives.

Design and lead claims-based RWE analyses evaluating utilization cost and quality impacts using CCW data in VRDC and other secure environments.

Develop and validate SAS programs to support observational studies comparative effectiveness research and health economic analyses.

Build and maintain analytical models and data pipelines using SAS to ensure accuracy reproducibility and scalability of HEOR analyses.

Synthesize findings into clear compelling insights that inform payer strategy pricing reimbursement and policy decisions for life sciences clients.

Collaborate cross-functionally with internal teams and client stakeholders to align evidence generation strategies with business and scientific goals.

Developing RWE reporting systems continuous data quality optimization and analytics for health economics and outcomes research (HEOR) evaluation and stakeholder decision-making.


Key Responsibilities


Lead components of analyses or deliverables under general guidance.

Conduct independent research and interpret data.

Support proposal inputs and client-ready materials.

Mentor Associates on basic methods and quality standards.


Core Competencies

Technical Proficiency

Problem Solving

Accountability

Mentorship

Client Awareness


Requirements

Masters or PhD in Data Science Biostatistics Health Economics Epidemiology Public Health Computer Science or a related quantitative field

Experienced in both qualitative & quantitative research survey design and analyses.

At least 7 years of related experience with SAS programming experience.

7 years of experience (or equivalent graduate-level research experience) applying data science in healthcare HEOR or life sciences.

Proven ability to translate complex findings into clear decision-ready insights to support payer strategy value assessment and policy making.

Demonstrated experience with large-scale health data analysis (claims EHR registry or clinical trial data).

Solid understanding of health outcomes cost analyses and study designs used in HEOR and RWE research.

Experience working in HEOR value and economics outcomes research (VEOR) or real world evidence (RWE) claims experience

Extensive experience working with health care datasets and performing quantitative research


An ideal candidate may also have:

Understanding of health care policy issues in Medicare and/or Medicaid

Experience working with data offered in the CMS Chronic Condition Warehouse

Experience working in the Virtual Research Data Center (VRDC) offered by CCW

Experience working with data in Medicare Standard Analytic Files (SAF) Research Identifiable Files (RIF) or Medicaid T-MSIS data



Location

Candidates can be based anywhere in the U.S. with a preference for those operating in the Eastern or Central Standard Time Zone. Candidates based in Washington DC or Austin TX will have the option of hybrid work arrangements.



Compensation and Benefits

The annual base salary range is $126000-$158000 plus a bonus plan. This range reflects ADVIs current expectations for the role. Actual compensation may vary and will be determined based on a number of factors including but not limited to job related skills experience education internal equity and market considerations. The base salary range does not include bonuses potential commission or other incentive compensation which may be available as part of the total rewards package. Additional details regarding compensation philosophy and benefits will be shared by the recruiter during the interview process.


ADVI offers an outstanding benefits package including the following:

Medical dental and vision

8 paid holidays including one ADVI Anniversary Day per calendar year

401(k) retirement contribution match up to 3 percent of salary with immediate vesting

Health Reimbursement Account

Life and short-term and long-term disability insurance

Paid vacation and sick leave


Diversity Statement

ADVIs commitment to diversity equity inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents abilities and potential then build an environment where you can become the best version of yourself.



Our Vision

To be the leading and most knowledgeable go-to-market access and commercialization partner for life sciences and healthcare innovators worldwide.



Our Mission

To provide life science and healthcare innovators the benefit of our teams wisdom empathy and creativity that through data-informed strategy generates evidence to optimize outcomes and through tech-enabled access solutions creates opportunities and expands care.



Our Values

Act with Integrity

Strive for Excellence

Make an Impact

Think smart Stay curious

Celebrate the Journey not just the results



We look forward to hearing from you!



#LI-Remote




Salary Description
00 base salary

Required Experience:

Senior IC


About Company

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A commercial strategy and business development consulting firm that thrives on solving complicated problems in an evolving healthcare system.

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