Right Fit Advisors
·TodayRight Fit Advisors
·Today
Location
remote, United States
Commitment
Full Time
Level
Senior (5+ years)
About the Role We're hiring senior RWD scientists to lead analysis strategy, build technical specifications, develop patient cohorts, and ensure methodological rigor across real-world evidence studies — while translating complex findings for non-technical stakeholders.
What You'll Do Lead RWD analysis strategy, specifications, and study methodology Program independently in SAS/R and SQL; build packages, work with complex data structures Execute propensity score matching, lines-of-therapy logic, Sankey diagrams, and ML (LASSO, Decision Trees, Random Forest, XGBoost) Use OHDSI/DARWIN tool sets in R where applicable Oversee QC, manage timelines/deliverables, and mentor on best practices Contribute to SAPs, protocols, and manuscripts; collaborate cross-functionally Track work in Jira or ADO
Required Qualifications Master's in Biostatistics, Epidemiology, Data Science, Bioinformatics, or related field + 5–8 yrs experience; or PhD + 3+ yrs Strong SAS or R, plus SQL — independent programmer Experience with propensity score matching and ML methods on RWD Healthcare data experience: Claims (Optum, MarketScan, Pharmetrics+, HealthVerity, CPRD) and EHR (IQVIA, Flatiron, ConcertAI, TriNetX) OMOP CDM or similar CDM experience Strong epidemiology/outcomes research background Proven autonomous project leadership in a matrix environment Specialty Tracks (role-dependent) Oncology: Flatiron/ConcertAI experience, lines-of-therapy programming Molecular Epi: Cloud SQL, clinico-genomic data (Tempus AI) or biobank data (UK Biobank), Tableau/Power BI a plus HEOR: SAS/SQL required, R a plus; cost analysis, burden-of-illness, comparative effectiveness research Clinical Trials: Psychometric validation experience
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