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Senior Applied Research Scientist – HEOR

Remote / Online - Candidates ideally in
Seattle, King County, Washington, 98127, USA
Listing for: Truveta
Remote/Work from Home position
Listed on 2026-01-09
Job specializations:
  • Research/Development
    Data Scientist
  • IT/Tech
    Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

Senior Applied Research Scientist – HEOR

Seattle, WA

Senior Applied Research Scientist – HEOR specialist

Truveta is the world’s first health provider‑led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.

Truveta was born in the Pacific Northwest, but we have employees who live across the country. Our team enjoys the flexibility of a hybrid model and working from anywhere. In‑person attendance is required for two weeks during the year for Truveta Planning Week.

For overall team productivity, we optimize meeting hours in the Pacific time zone. We avoid scheduling recurring meetings that start after 3pm PT, however, ad‑hoc meetings occur between 8am‑6pm Pacific time.

Who We Need

Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission‑driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.

This

Opportunity

Truveta is seeking a motivated, innovative, and technical Applied Research Scientist to join Truveta Research. Truveta Research is an internal research organization focused on demonstrating what’s possible with Truveta by producing high‑interest, high‑quality, trusted research. As an Applied Research Scientist, you will collaborate closely with a broad set of collaborators across communications, marketing, engineering, product, and fellow scientists to push the boundaries of what can be achieved with healthcare data, transforming complex datasets into impactful research.

You will have the opportunity to work with an extensive, high‑quality dataset of real‑world Electronic Health Records (EHR), encompassing over 100 million patients. Your work will produce findings that advance public health and patient outcomes, while upholding the highest standards of clinical and scientific rigor.

Responsibilities
  • Proactively initiate and drive applied research studies aligned with business objectives, from ideation through peer‑review publication.
  • Apply appropriate and rigorous methods for observational data studies, such as causal inference methods, missing data approaches, survival analysis, longitudinal data analysis, and time‑series analysis.
  • Write, review, and maintain code (R or Python) to process, wrangle, and analyze data, identifying problems, devising solutions, and creating methodologies that drive data insights and best practices.
  • Be accountable to agreed‑upon timelines for delivering research studies, working to communicate and manage dependencies.
  • Proactively manage several projects simultaneously to maximize impact and efficiency of your work.
  • Work collaboratively with internal and external stakeholders, including engineering, product, clinical informatics, and communications.
  • Represent researcher input by providing feedback on the development of research solutions that enable clinicians and researchers to address real‑world healthcare challenges.
Required Skills
  • Education: MD or PhD in Epidemiology, HEOR, Biostatistics, or a related field.
  • Expertise in Applied Methods: Extensive experience with statistical and econometric methods for analyzing complex real‑world data, including approaches for causal inference, handling incomplete data, modeling longitudinal or time‑to‑event outcomes, and working with structured or hierarchical data.
  • Statistical Programming: 5+ years of hands‑on experience with statistical programming in R and/or Python, with experience executing analysis plans intended for publication, particularly within the health sciences.
  • Scientific publication: 5+ years of experience developing…
Position Requirements
10+ Years work experience
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