Clinical Data Scientist
Core
Design and execute rigorous data assessment frameworks to evaluate the fitness-for-purpose of real-world data (RWD) sources for insights and evidence generation across the enterprise.
Role type
Senior Clinical Real World Data Scientist (Methodological Authority)
Builds
Reliable RWD Foundation and Products for internal decision-making and regulatory-grade evidence generation
Domain
Biopharmaceutical / Real-World Data / Pharmaco-epidemiology
Deliverable
production ML models | dashboards & analysis | research
Required skills
Epidemiological study design, Propensity score matching, Time-to-event analyses, Statistical programming (SQL, Python, R, SAS), Medical coding (ICD-10, CPT, SNOMED CT, LOINC, RxNorm), OHDSI OMOP CDM, US EHR/claims/registry data analysis, AI coding tools (Cursor, LLM)
Preferred skills
NLP-based extraction from clinical notes, Patient and healthcare provider segmentation, Automation tools (Power Automate, Power App)
Technologies
Snowflake, R, Python, SQL, SAS, Cursor, GitHub Copilot, Claude
Responsibilities
Lead feasibility assessments for RWD sources (EHR, claims, registries, wearables), Develop structured data assessment frameworks for data quality dimensions, Apply advanced epidemiological and biostatistical methods, Design methodologically sound recommendations to minimize RWD misuse, Partner with R&D and Business units on data identification and usage, Manage external data vendors and technology partners
Seniority
Senior, hands-on IC with methodological authority
