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 Principal 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 Principal Statistical Programmer will develop, implement, and document non-routine macros and advanced techniques; The Principal Statistical Programmer will ensure SOPs are followed and timelines and quality are met; Collaboration of Local biostatistics and programming teams, Global Medical Affairs biostatisticians and Global Medical Affairs Scientific Communications personnel
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. 5) Work closely with the Global Medical Affairs biostatisticians and/or programmers to develop and implement project QC plans and timelines.
About you
Experience: Master's degree minimum 6 years/B.Sc. minimum 8 years of relevant experience required
Soft skills: Stakeholder management, Ability to manage timelines and Ability to work independently and within a team environment, Autonomy in the management of activities; ability to manage multiple conflicting high priority deadlines
Technical skills: Advance SAS programming skills, SDTM & ADaM (CDISC) and clinical data environment across multiple therapeutic areas
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
