RWE Analytics Specialist

Job Title : RWE Analytics Specialist • Location: Cambridge, MA   About the Job ​The successful RWE Analytics Specialist will provide programming support and Senior oversight to implementation of analyses and studies in large databases (e.g. administrative claims, electronic health records). The individual in this role will work in close collaboration with health economics and value assessment (HEVA), medical affairs, business operations & strategy (BO&S) and commercial product teams to understand research questions and translate those into actionable items for the analytics team. These responsibilities require a strong background in data sciences, including statistics and programming. Experience leading studies and analyses that use observational research design and secondary data, experience with secondary data sources such as administrative claims and electronic health records in the US and experience in the pharmaceutical industry are required. Experience guiding more junior team members through the implementation of analyses is a must. This position will report to the RWE Analytics Lead, Evidence for Access. Join the team transforming care for people with immune challenges, rare diseases, cancers, and neurological conditions. In Specialty Care, you’ll help deliver breakthrough treatments that bring hope to patients with some of the highest unmet needs.     About Sanofi: We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve lives   Main Responsibilities The RWE Analytics Specialist will be responsible for overseeing the implementation of analyses and studies and providing Senior support and direction to Data Analysts on the RWE team.   These projects include, but are not limited to:   • Assess study feasibility in a variety of data sources available for analysis, including new or less familiar data • Propose and conduct exploratory analyses that allow deep understanding of a data source at hand (e.g., ability to generate insights and visualize output that allows researchers to make decisions about study feasibility and study design) • Analyze data based on provided definitions using traditional programming or other digital applications • Characterizing disease epidemiology, burden of disease, rates of pre-specified outcomes based on diagnostic codes and/or treatment codes using descriptive and comparative study designs • Review relevant literature for methods, lists of codes or validated algorithms • Create statistical analyses plans and table shells from study protocols • Analyze data using traditional programming or other digital applications • Develop algorithms, such as lines of therapy for oncology • Apply traditional modeling approaches, including regression and time to event analyses • Report results in form of study tables, dashboards or slide deck • Communicate results to stakeholders   About You Basic Qualifications • ​BA/BS + 5 years of relevant experience OR MS/PhD + 4 years of relevant experience, • Academic training in the areas of mathematics, statistics/biostatistics, statistical programming, observational research, epidemiology, health economics, or a related quantitative field ​ Required ​Experience • Experience programming in R, Python, and SQL • Working knowledge of statistical methods • Experience applying epidemiological methods • Experience analyzing multiple sources of secondary patient data (e.g., electronic medical records, administrative claims)   Required Skills • Expertise with R, Python