Sanofi Business Operations is an internal Sanofi resource organization based in India and is setup to centralize processes and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, and R&D, Data & Digital functions. Sanofi Business Operations strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, and Commercial organizations in Sanofi, globally.

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 health economics and value assessment (HEVA), 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 HEVA, 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: 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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Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.

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The salary range for this position is :€60.000,00 - €80.000

Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefit programs.