At a Glance
- Tasks: Lead statistical analysis for oncology studies and contribute to trial design and regulatory submissions.
- Company: Join a dynamic biopharma company focused on innovative oncology diagnostics.
- Benefits: Competitive salary, supportive work culture, and opportunities for professional growth.
- Other info: Be part of a well-funded company with a strong pipeline and collaborative environment.
- Why this job: Make a real impact in oncology while working closely with science and decision-makers.
- Qualifications: BSc in a scientific field; MSc or PhD in Statistics preferred, with clinical trial experience.
The predicted salary is between 80000 - 100000 £ per year.
Are you a biostatistician who wants to be close to the science — not just the data? We're working with a specialist, commercially active diagnostics company with a strong oncology focus and a growing clinical pipeline. This is a hands-on study statistician role where your work reaches all the way from trial design to regulatory filing. You won't be one layer removed from the decision-making. You'll be in the room.
The Role
Reporting to the Director of Biometrics, you'll serve as study statistician across assigned oncology clinical programs — owning the statistical work end-to-end. That means contributing to protocol design, authoring and reviewing SAPs, supporting CDISC-compliant data standards (SDTM/ADaM), overseeing CRO/vendor outputs, and contributing directly to NDA/MAA submissions. This is a role for someone who wants regulatory depth and scientific ownership, not just analytical throughput.
What You'll Be Doing
- Acting as lead statistician on assigned oncology studies within a cross-functional project team
- Authoring and reviewing Statistical Analysis Plans
- Supporting trial design, protocol development, and database setup documentation
- Overseeing biometrics vendors — timelines, deliverables, quality
- Working with CDISC standards: SDTM, ADaM, define.xml, Pinnacle21
- Contributing to NDA/MAA submissions and clinical study reports
- Collaborating closely with Medical, Clinical Operations, Imaging, and Regulatory Affairs teams
What We're Looking For
- BSc in a mathematical or scientific discipline; MSc or PhD in Statistics strongly preferred
- Solid experience applying statistical methods in clinical trials
- Hands-on experience with SAS and/or R in a drug development context
- In-depth knowledge of CDISC standards and regulatory submission requirements
- Experience working with external vendors in a CRO or sponsor environment
- Oncology or diagnostic imaging experience is a genuine advantage
- Strong communicator who is comfortable in a cross-functional, matrixed setting
Why This Role?
This is not a large-pharma seat where your SAP sits in a queue for six weeks. It's a focused, science-first environment where biostatistics has a visible seat at the table, your contributions are traceable to outcomes, and the regulatory complexity is genuinely interesting — particularly around imaging endpoints in oncology. The company is well-funded, pipeline-active, and backed by a major international diagnostics group. You get the intellectual environment of a specialist organisation with the stability of an established parent.
Senior Data Analysis employer: Planet Pharma
At Planet Pharma, we pride ourselves on being an employer that values scientific ownership and regulatory depth in the biostatistics field. Our collaborative work culture fosters close relationships across cross-functional teams, ensuring that your contributions directly impact oncology clinical programs. With a strong focus on employee growth and a commitment to excellence, we offer a unique opportunity to work in a dynamic environment backed by a major international diagnostics group, making it an ideal place for passionate professionals seeking meaningful and rewarding careers.
