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An innovative firm is seeking a talented Data Scientist to join their Biostatistics and Research Decision Sciences team. In this role, you will develop R and Python software programs to enhance data analytics efficiency and quality. Your expertise in statistical methods and machine learning will be crucial in pioneering new algorithms to extract insights from real-world datasets. This position offers the opportunity to contribute to scientific publications and advance methodologies in data quality. If you're passionate about leveraging data to drive impactful research in the pharmaceutical industry, this is the perfect opportunity for you.
Need someone with strong R package development experience and familiarity with real-world datasets such as EMR, claims, and the OMOP data model. Proficiency in Git and Github is required.
Biostatistics and Research Decision Sciences (BARDS) Epidemiology (EPI) Real-world Data Analytics and Innovation (RDAI) team is seeking a Data Scientist responsible for developing Python/R software programs, documenting code, and programming requirements to support research studies advancing real-world data quality methodologies. The resource must be a subject matter expert (SME) in statistical methods, version control, and working with EHR, claims, and medical data in the pharmaceutical industry.
Scope:
Develop internal analytic packages in R/Python to enhance efficiency and quality of in-house secondary data analytics. Design and conduct data quality assessments across different indications and products. Develop reusable programming codes, build statistical models, and generate data quality reports. Participate in scientific publication development.
Responsibilities: