HEOR RWE Data Scientist
Role summary
Value Analytics Labs seeks an RWE Data Scientist to lead and expand their real-world evidence generation capabilities. This remote role, based in the US or Canada, involves analyzing and structuring diverse raw data, designing RWE studies to meet client objectives, and advising on data sources and curation. The scientist will perform extensive statistical analysis, conduct external validation, and lead the preparation of manuscripts and conference abstracts. Key responsibilities also include designing innovative data visualizations and dashboards, working with APIs and public data sources, and managing client communications. A Ph.D. in a quantitative field and proficiency in Python or R are required.
HEOR RWE Data Scientist
Value Analytics Labs | Remote, based in US or Canada
Value Analytics Labs (www.valueanalyticslabs.com) is a health economics and outcomes research (HEOR) and value-focused analytics firm supporting life sciences organizations across evidence generation, value strategy, and market access. We work closely with pharmaceutical, biotech, and healthcare organizations to address complex evidence and access challenges through rigorous analytics and practical, decision-oriented solutions. Our team is made up of curious, creative, and driven people who enjoy solving meaningful problems and continuously learning along the way.
We’re looking for an RWE Data Scientist to lead and grow our capacity for real-world evidence generation.
What You’ll Do
- Analyze a variety of raw data types: assessing quality, cleansing, and structuring for downstream processing
- Design RWE studies that deliver actionable insights and meet client objectives
- Advise on appropriate data sources and appropriate data curation
- Design and create effective and innovative ways to visualize data through dashboards
- Perform extensive descriptive and statistical analysis
- Conduct external validating analysis
- Lead manuscript and conference abstract preparation
What We’re Looking For
- Ph.D. in a quantitative field such as pharmacoeconomics, health policy/management, statistics, industrial engineering, operations research, economics, applied mathematics, or computer science
- Proficiency in at least one programming language: Python or R, and at least intermediate proficiency in the other
- Experience with administrative claims databases (Marketscan, Komodo, Symphony, CMS, etc.) and EHR data
- Skilled with working with APIs and public data sources (US census, CDC PLACES, BRFSS, NHIS, NHANES, HCUP, MEPS, etc.)
- Experience with leading dashboard development and the use of GitHub
- Experience in leading project-related communication with clients and slide deck preparation
Preferred / Bonus Qualifications
- Experience with SQL, VBA, TypeScript, CSS, and/or C++
- Experience with unstructured data or scraping web sources
- Understanding relationships among US geographic entities (zip codes, counties, census tracts, etc.)
- Conceptual understanding of software engineering principles or UI design
- Experience with leveraging LLMs and modern AI tools
Why You’ll Like Working Here
- You’ll work with a curious, creative, and driven team
- You’ll contribute to innovative projects that make a real impact in healthcare
- You’ll have room to experiment, learn, and grow
- You’ll work remotely with supportive, engaged teammates
You may also email your resume and cover letter through our website: https://www.valueanalyticslabs.com/jobs/rwe-data-scientist-us-or-canada/