Statistical Programmer
Bristol-Myers Squibb
- Location
- Uxbridge - GB
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 57 approvals (FY2023)
- Posted
- 21h ago
Skills
About this role
Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. 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: careers.bms.com/working-with-us . Uxbridge, UK Hybrid Working - 50% Onsite Your Code Could Help Save a Life At Bristol Myers Squibb, the programs you write, the datasets you build, and the outputs you validate feed directly into the regulatory submissions that bring new medicines to patients who need them most. This isn't just a programming job. It's a chance to sit at the intersection of data science and drug development - where your technical precision has a real, measurable impact on clinical outcomes around the world. What Your Day-to-Day Actually Looks Like You'll be embedded within our Global Biometrics & Data Sciences (GBDS) team, working closely with clinical project teams, external vendors, and cross-functional colleagues across the full drug development lifecycle. No two days are the same, but here's a flavour of what you'll be doing: Writing and validating SAS/R programs to produce derived analysis datasets and the tables, listings, and figures (TFLs) that underpin clinical evidence — knowing that every output you produce is held to the highest standard of accuracy Contributing to regulatory submissions (think NDAs, BLAs, MAAs) - this is your chance to be part of the team that gets a medicine over the line Reviewing key planning documents like Statistical Analysis Plans, so you're always connected to the bigger picture and can anticipate exactly what's needed before it's needed Leading programming assignments independently across multiple projects - you'll have real ownership here, not just task tickets Spotting and driving efficiencies - if you see a smarter way to do something, we want to hear it What You Bring to the Table You're not just a coder. You're someone who understands why the data matters and takes pride in getting it right. You'll need: A Bachelor's degree in Statistics, Biostatistics, Mathematics, Computer Science or a Life Sciences discipline At least 2 years of industry programming experience Solid, demonstrable proficiency in SAS for producing derived datasets and TFLs A firm grasp of CDISC standards , clinical data structures, and relational databases Hands-on experience with SDTM, ADaM, Data Definition Tables and e-submissions Familiarity with tools like Pinnacle 21, XML, and MS Office A working knowledge of regulatory and industry standards - you understand the rules and the reasons behind them Bonus points if you have: Experience supporting regulatory filings ( NDA, BLA or MAA ) within a pharma environment Comfort working with R or R-Shiny - we're evolving and so should our toolkit Exposure to real-world data or real-world evidence - this space is growing fast and your experience here will be genuinely valued Why BMS — And Why Now? The work matters. BMS has a pipeline of innovative therapies in oncology, immunology, and cardiovascular disease. When you're programming analysis datasets here, you're directly contributing to treatments that are changing and saving patients' lives. You'll grow. With exposure to global regulatory submissions, cutting-edge data standards, and a