Sanofi Global Hub 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 RD, Data Digital functions. Sanofi Global Hub strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, and Commercial organizations in Sanofi, globally.

The Biostatistician will work with Medical Affairs biostatisticians and Sanofi Global Hub biostatistics and programming personnel to implement statistical analysis plans and provide QC’d data packages including tables, figures, and listings for use in publications (i.e. abstracts, posters, oral, presentations, and manuscripts); The Biostatistician will ensure SOPs are followed and timelines and quality metrics are met.

• People: 1) Develop and maintain effective relationships and collaborations with the end stakeholders (Medical community) and local biostatistics and programming team members within the allocated Global business unit and product – with an objective to develop statistical data outputs.

• Performance / Process: 1) Conduct appropriate post-hoc statistical analyses of clinical trial data. 2) Design, develop, test, implement, and document statistical programming in high-level software packages e.g. SAS. 3) Produce well documented data packages that include tables, listings, and figures. 4) Closely follow QC plans and timelines set by senior members of the Sanofi Global Hub biostatistics and programming team.  5) Review appropriate biomedical and clinical research literature related to assigned project(s).

• Customer: 1) Work closely with Global Medical Affairs biostatisticians to identify statistical analysis needs and assist in developing assigned deliverables.

About You

• Experience: Master's degree with 3-6 years (M.Sc.) of experience required /Ph.D. in biostatistics or statistics or epidemiology and 2-3 years.

• Soft skills: Stakeholder management, Ability to manage timelines and Ability to work independently and within a team environment, High proficiency in statistical methods used in the pharmaceutical industry , Autonomy in the management of activities; ability to manage multiple conflicting high priority deadlines.

• Technical skills: Advance SAS programming skills, SDTM ADaM (CDISC) and other statistical computing software skills in a clinical data environment across multiple therapeutic areas.

• Education: Master of Science degree or equivalent in Statistics/ Ph.D. in biostatistics or statistics or epidemiology

• Languages: Excellent English language knowledge – written and spoken