You'll be a key technical voice within our Global Biometrics & Data Sciences (GBDS) function, working closely with cross‑functional clinical teams, collaborating with external vendors, and owning your programming workload with real autonomy. This is a focused individual contributor role – no line management responsibilities – so you can put your energy exactly where it matters most: delivering high‑quality, high‑impact programming work. Day to day, that looks like:
Responsibilities
* Writing and validating SAS programs to generate derived analysis datasets and clinical Tables, Figures, and Listings (TFLs) – work that feeds directly into regulatory decision‑making
* Contributing to electronic submission preparation (NDA, BLA, MAA) – real regulatory milestones that mark pivotal moments in a medicine's journey
* Reviewing and shaping key planning documents such as Statistical Analysis Plans (SAPs) and Data Presentation Plans – ensuring clarity and completeness before programming work begins, your input genuinely steers project direction
* Partnering with vendors on programming standards, specifications, and file transfers – building collaborative relationships that make complex programmes run smoothly
* Independently leading programming assignments across multiple projects with minimal supervision – you have real ownership and the trust that accompanies it
* Spotting opportunities to improve efficiency and consistency across GBDS, contributing to initiatives that make the whole team better, and exposure to the full clinical development lifecycle, from data collection through regulatory submission
* The chance to work with industry‑leading standards and technologies in a global biometrics function
* A culture that actively encourages you to identify improvements and champion change – your ideas won’t gather dust here
* Collaboration with talented, purpose‑driven colleagues across global cross‑functional teams
Qualifications
* A Bachelor's degree in Statistics, Biostatistics, Mathematics, Computer Science, or Life Sciences
* Demonstrated industry experience in statistical programming
Core Skills & Knowledge
* Strong, proven proficiency in SAS for producing derived analysis datasets and TFLs
* In‑depth understanding of clinical data structures, including CDISC standards (SDTM, ADaM) and relational databases
* Hands‑on experience with upstream data handling – multiple data forms, eDC, workflow, and SDTM
* Ability to deliver downstream outputs including ADaM datasets, Data Definition Tables, and e‑submission packages
* Confidence with tools such as MS Office, XML, and Pinnacle 21
* A solid grasp of regulatory, industry, and technology standards – you understand why the rules exist, not just what they are
* Familiarity with statistical terminology, clinical trial methodology, medical terminology, and protocol designs
* A genuine team player – you communicate well, build bridges across functions, and make the people around you more effective
Preferred Credentials
* Deep experience supporting global regulatory filings (NDA, BLA, MAA) within pharma clinical development
* Broad knowledge of the end‑to‑end drug development process and global regulatory frameworks
* Experience with R or other statistical programming languages
* Familiarity with the Linux operating system
As our Senior Statistical Programmer, you are one of the people who turns clinical data into life‑changing decisions. Your programming expertise directly shapes how new medicines are developed, reviewed by regulators, and ultimately approved for patients worldwide.
Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.
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