Posted:1 day ago|
Platform:
Work from Office
Full Time
The Associate 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 (ie abstracts, posters, oral, presentations, manuscripts, and ad-hoc data analysis requests) ; The Associate Statistical Programmer will assist in developing, implementing of programming techniques. The Associate Statistical Programmer will ensure SOPs are followe'd and that timelines and quality standards 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 eg SAS. 3) Produce we'll documented data packages that include tables, listings, and figures. 4) Closely follow QC plans and timelines set by senior members of the Sanofi Business Operations biostatistics and programming team. 5) 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 : B.Sc. or Masters degree minimum 1 years of relevant experience required, or a minimum of 6 months of relevant internship experience. Soft skills : Ability to manage timelines and Ability to work independently and within a team environment. Technical skills : Base SAS programming skills, basic knowledge 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
Sanofi
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