RWD Analyst

Job Summary Join our Evidence Generation team as a hands‑on Real‑World Data (RWD) Analyst focused on preparing, analyzing, and reporting large-scale healthcare datasets to generate robust real‑world evidence. In this role, you will execute data manipulation and statistical programming, translating complex analytical plans into reliable results that support regulatory, clinical, and commercial objectives. Location: Cambridge, Massachusetts Job Type: Contract Salary: $90–100 per hour Work Hours: 9 to 5 Education: Doctorate Responsibilities Clean, standardize, and transform complex raw RWD (e.g., Humedica, Optum, MarketScan, Komodo) into analysis‑ready datasets while performing rigorous quality checks. Demonstrate expert‑level proficiency in Python and/or R to write and optimize code for data manipulation, statistical analysis, and generating TFLs (tables, figures, and listings). Execute descriptive, exploratory, and inferential statistical analyses (e.g., survival analyses, patient journeys) as outlined in Statistical Analysis Plans (SAPs). Query, extract, and manipulate large relational healthcare data tables across claims data and EMR/EHR structures. Generate and validate outputs for internal reports, scientific presentations, and regulatory documentation, while providing detailed code documentation to ensure reproducibility. Troubleshoot data anomalies alongside Senior Analysts and Biostatisticians to ensure accurate and timely completion of technical tasks across multiple projects. Qualifications Minimum of a PhD in Statistics, Biostatistics, Epidemiology, Health Informatics, or a closely related quantitative field. A minimum of 5‑7 years of hands‑on, post‑degree experience performing data analysis and programming within a pharmaceutical, biotechnology, healthcare consulting, or academic setting. Direct, verifiable experience utilizing and analyzing complex healthcare data sources, including claims data, EMR/EHR, and/or disease registries. Expert level proficiency in at least one major statistical programming language (Python or R) is mandatory. Skills Real World Evidence (RWE) Real World Data (RWD) Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. #J-18808-Ljbffr Randstad USA