Jobs at Bristol Myers Squibb

Develop and validate SAS programs to produce derived analysis datasets and TFLs, apply CDISC/SDTM/ADaM standards, support regulatory submissions (NDAs/BLAs/MAAs), review SAPs, lead programming tasks across projects, and collaborate with cross-functional teams and vendors using tools like Pinnacle 21 and XML.

Lead statistical programming for clinical trials: produce submission-ready outputs using SAS and CDISC standards, implement ADaM specs and e-submission components, review SAPs, advise stakeholders, mentor/coach programmers, and drive process improvements across cross-functional teams.

The Senior Manager, Data Sciences role focuses on developing novel computational methods and predictive models from complex clinical data to drive drug development insights.

Lead data science strategy and hands-on advanced analytics for drug development programs. Design and execute multimodal analyses (omics, imaging, EHR), develop AI/ML and statistical models, ensure reproducible pipelines, mentor a small team, and partner cross-functionally to influence trial design, biomarker strategy, and regulatory decision-making.

Provide medical accountability and oversight for Phase 1-3 immunology clinical trials. Lead medical monitoring and safety assessments, contribute to protocol design and clinical strategy, support study execution and site interactions, engage key opinion leaders and health authorities, and author clinical/regulatory documents in partnership with cross-functional teams.

Lead end-to-end clinical data management for complex programmes: set programme-level standards, oversee EDC and integrations (eCOA, external data, Safety Gateway), manage vendors/CROs, author study documentation, support inspections/audits, mentor leads, and represent data management cross-functionally.

Lead biostatistical contributions across clinical development: design trials, draft SAPs/protocols, analyze and interpret results, support regulatory submissions, and collaborate with cross-functional teams to ensure quality and alignment.

Lead development and implementation of novel statistical methods and study designs for drug development. Provide statistical consulting, drive stakeholder engagement, oversee tools/software development, publish and present research, and mentor junior methodologists while collaborating across cross-functional teams.