Main Responsibilities
Use statistical, analytical, data management and computational skills to execute analyses of pre-existing data to investigate research questions in teamwork with colleagues from GenMed, medical affairs, business operations & strategy (BO&S) and commercial product teams; Work together with these SGz functions and the RWE group located in the Chief Digital Office that maintains Sanofi data assets via primary data collection, license of secondary data sources, and de-identified clinical trial data; Require a strong background in statistics, statistical programming, observational research design, and experience in the pharmaceutical industry
- People: (1) Work together with colleagues from GenMed, medical affairs, BO&S and commercial product teams to executive analysis of pre-existing data to investigate research questions; (2) Also collaborate with SGz functions and RWE group to maintain Sanofi data assets (3) Collaborate with other team members as required and provide support as needed (4) acting as a mentor and guide to the new joiners in the team
- Performance: (1) Responsible for independently conducting analyses that Sanofi has defined as Conventional Projects. These projects are intended to provide insights to inform key internal decisions. These projects include, but are not limited to: (a) Characterizing disease epidemiology based on diagnostic code and/or treatment codes; (b) Assess study feasibility based on patient population(s) available for analysis; (c) Descriptive cohort analyses based on a limited number of outcomes; (2) Responsible for developing a deep understanding of Sanofi's suite of digital tools and platforms; (3) Use statistical, analytical, data management and computational skills to execute analysis of pre-existing data to investigate research questions; (4) Maintain Sanofi data assets via primary data collection, license of secondary data sources, and de-identified clinical trial data (5) Acting as an SME for the RWE analytics
- Customer: (1) Providing accurate and timely deliverables; (2) Highly responsive to end-user needs
- Process: (1) Manage all requests within the centralized mailbox and prioritize based on the business need
About You
- Experience: 7+ years; Experience analysing multiple sources of secondary patient data (e.g., electronic medical records, administrative claims); Demonstrated experience with business intelligence stacks, data visualization frameworks (Qlik, Tableau, MicroStrategy etc.) and integration with data technologies; Experience using existing RWE platforms such as AETION, PANALGO
- Soft skills: High level of interactive communication including challenges to conventional thinking as necessary; Proven teamwork and collaboration; Rapid response analytics; High energy responsiveness and commitment to meeting stakeholders needs; Excellent Written and verbal communication skills, collaboration, and interpersonal skills
- Technical skills: R, SAS, python and/or pyspark
- Education: BA/BS + 7 years of relevant experience OR MS/PhD + 5 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
- Languages: Excellent knowledge of English language (spoken and written)
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Pursue
Progress.
Discover
Extraordinary.
Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what's never-been-done-before. You'll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people's lives Let's Pursue Progress and Discover Extraordinary together.At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.
