Senior Statistical Programmer

About The Job Our Team: 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 The Senior Statistical Programmer will work with Medical Affairs biostatisticians and/or programmers and Sanofi Business Operations 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, manuscripts and ad-hoc data analysis requests) ;The Senior Statistical Programmer will develop, implement, and document non-routine macros and advanced techniques; The Senior Statistical Programmer will ensure SOPs are followed and timelines and quality are met.

• People: 1) Develop and maintain effective relationships and collaborations with the end stakeholders (Medical community) and local biostatistics and/or 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 and/or registry. 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) Remain current on advanced programming methods
• Customer: 1) Work closely with Global Medical Affairs biostatisticians and/or programmers to identify statistical analysis needs and assist in developing assigned deliverables

About You

• Experience: Master's degree minimum 4 years/B.Sc. minimum 6 years of relevant experience required
• Soft skills: Stakeholder management, Ability to manage timelines and Ability to work independently and within a team environment
• Technical skills: Advance SAS programming skills, SDTM & ADaM (CDISC)
• Education: Bachelor or Master of Science degree or equivalent in Statistics, Computer Science, Mathematics, Engineering, Life Science, or related field.
• Languages: Excellent English language knowledge – written and spoken

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