Hyderabad, India.
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
- Performance: (1) Responsible for 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
- 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
- Experience: 5 – 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, Optum, Claims data, SQL, SAS, python and/or pyspark
- Education: BA/BS OR MS/PhD; 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)
Our Team:
Sanofi Global Hub (SGH) 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. SGH strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, and Commercial organizations in Sanofi, globally.
Pursue progress. Discover extraordinary.
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. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s 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, or gender identity.
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