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Senior Statistical Programmer
Job in
Uxbridge, Worcester County, Massachusetts, 01569, USA
Listed on 2026-07-16
Listing for:
Bristol-Myers Squibb
Full Time
position Listed on 2026-07-16
Job specializations:
-
IT/Tech
Data Engineering, Data Scientist, Data Analyst
Job Description & How to Apply Below
You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: you ready to turn clinical data into life-changing decisions?
At Bristol Myers Squibb, we believe that behind every dataset, every line of code, and every submission package, there's a patient waiting for a better option. As our Senior Statistical Programmer, you are one of the people who makes that happen.
This isn't a role where your work disappears into a black box. Here, your programming expertise directly shapes how new medicines are developed, reviewed by regulators, and ultimately approved for patients around the world. That's a pretty remarkable thing to be part of.
What you'll actually be doing
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:
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 (think NDA, BLA, MAA) — real regulatory milestones that mark pivotal moments in a medicine's journey
Reviewing and shaping key planning documents like 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 the kind of collaborative relationships that make complex programmes run smoothly
Independently leading programming assignments across multiple projects with minimal supervision - you'll have real ownership and the trust to match it Spotting opportunities to improve efficiency and consistency across GBDS, contributing to initiatives that make the whole team better
What you bring to the table
We're looking for someone with a solid foundation and the drive to apply it meaningfully. Here's what we need:
Education & BackgroundA 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 TFLsIn-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 SDTMAbility to deliver downstream outputs including ADaM datasets, Data Definition Tables, and e-submission packages
Confidence with tools like MS Office, XML and Pinnacle 21A 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 designsA genuine team player - you communicate well, build bridges across functions, and make the people around you more effective
It'd be a bonus if you also…
Position Requirements
10+ Years
work experience
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