Principal Statistical Programmer

Bristol Myers SquibbUxbridge - GBhybridSalary not postedView the original posting at Bristol Myers Squibb ↗

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it. Flexible Working: 50% Hybrid Working Location: Uxbridge, UK What if your code helped save a life? It sounds dramatic but that's exactly what's at stake here. At Bristol Myers Squibb , we're in the business of discovering, developing, and delivering medicines that genuinely change patients' lives. And behind every successful clinical trial, every regulatory submission, every approved therapy? There's a team of brilliant statistical programmers making sure the data tells the right story, accurately, compliantly, and on time. That's where you come in. So, what will you actually be doing? You'll be the programming expert that clinical project teams rely on. The person who takes complex, messy clinical data and turns it into clear, submission-ready outputs that regulators trust. You'll design and implement technical solutions that directly influence whether a medicine moves forward - or doesn't. That means working with CDISC standards, ADaM specifications, SAS programming, and electronic submissions - things you already know inside and out. But it also means something bigger: your technical decisions will have a direct line to patient outcomes. You won't be working in a silo either. You'll be embedded in cross-functional teams, partnering with statisticians, data managers, clinical scientists, and external vendors - building relationships across Bristol Myers Squibb's Global Biometrics & Data Sciences (GBDS) organisation and beyond. And if you're the kind of person who sees a broken process and immediately starts thinking about how to fix it? You'll have the platform and the influence to actually do something about it here. What's in it for you - really? Let's be direct about the tangible value this role brings to your career: Real regulatory impact - You'll lead and support electronic submissions for significant regulatory filings. Your name, your work, your standards will be part of clinical packages that go in front of global health authorities. That's career-defining experience. Technical depth + strategic influence - This isn't a heads-down programming role. You'll review statistical analysis plans, shape programming strategy, and advise senior stakeholders on risk and resolution. You'll be in the room where decisions get made. The chance to build and shape a team - If you've been waiting for the opportunity to lead, mentor, and develop other technical professionals, this is it. You'll set objectives, coach in real time, and help talented programmers grow - leaving a legacy that outlasts any single project. Work that matters at scale - BMS is a global leader in oncology, hematology, immunology, and cardiovascular disease. The trials you support aren't hypothetical - they're actively changing the standard of care for patients around the world. A platform to drive change - You'll be empowered to identify inefficiencies, lead improvement initiatives, and influence the future of how statistical programming operates at BMS. If you have ideas, there's a culture here that wants to hear them. You'll thrive here if you... Have 7+ years of statistical programming experience in the pharmaceutical or biopharma industry, including hands-on involvement in major regulatory submissions Are deeply fluent in SAS, CDISC/SDTM/ADaM standards , and the end-to-end clinical data pipeline Understand the full drug development lifecycle - from eDC data collection through to TFLs and e-submission components Can h

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