At a Glance
- Tasks: Lead the design and development of Python solutions for clinical trials.
- Company: Global leading CRO with a focus on innovative clinical development.
- Benefits: Home-based role, competitive salary, and comprehensive benefits package.
- Other info: Collaborate internationally and mentor junior programmers in a dynamic team.
- Why this job: Join a high-profile programme and make an impact on global clinical studies.
- Qualifications: Extensive Python experience and strong knowledge of SDTM and ADaM standards.
The predicted salary is between 50000 - 65000 £ per year.
A global leading CRO has an exciting opportunity for an experienced Senior Clinical Python Programmer to join a sponsor-dedicated team supporting innovative clinical development programmes. This role sits within a specialist clinical data science function, focused on developing advanced programming solutions for clinical trial data across international studies.
This is an excellent opportunity for a candidate with strong Python programming expertise and in-depth clinical trial data standards experience to join a high-profile programme delivering data-driven solutions across global studies.
What you will be doing:
- Leading the design, development, and validation of Python-based programming solutions for clinical trials
- Developing data workflows to support analysis, reporting, and clinical insights generation
- Working with SDTM and ADaM datasets to support study deliverables and reporting requirements
- Collaborating with biostatistics, data management, and clinical teams to deliver high-quality programming outputs
- Supporting data integrity, validation, and quality control across study deliverables
- Providing technical leadership and mentoring junior programmers within the wider team
What you will need:
- Extensive Python programming experience within clinical research
- Strong SDTM and ADaM knowledge with hands-on experience (essential)
- Prior clinical trials experience within a CRO or pharmaceutical environment
- Good understanding of CDISC standards and regulatory requirements
- Experience programming datasets, tables, listings, and figures (TLFs)
- Strong analytical and problem-solving skills with a focus on quality and accuracy
- Previous experience mentoring or supporting junior team members
- Additional experience with R, Databricks, or advanced analytics tools would be advantageous
What you will receive:
- Home-based role in the UK, Ireland, France, Germany or Spain
- Competitive salary and comprehensive benefits package
- Opportunity to join a global sponsor-dedicated programme
- Exposure to innovative clinical development projects
- Strong long-term project visibility within a growing team
- International collaboration across global study teams
What to do next:
If this opportunity is of interest, please apply now with your CV as the organisation is looking to arrange interviews as soon as possible.
Senior Clinical Python Programmer in Oxford employer: Warman O'Brien
Join a global leading CRO that prioritises innovation and collaboration, offering a home-based role that allows you to contribute to cutting-edge clinical development programmes. With a competitive salary, comprehensive benefits, and opportunities for professional growth, this is an ideal environment for experienced Senior Clinical Python Programmers looking to make a meaningful impact in the field of clinical research.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Clinical Python Programmer in Oxford
✨Tip Number 1
Network like a pro! Reach out to your connections in the clinical research field, especially those who work with CROs. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python programming projects, especially those related to clinical trials. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to SDTM and ADaM datasets. We recommend practising your answers with a friend or in front of a mirror to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for talented individuals like you to join our team.
We think you need these skills to ace Senior Clinical Python Programmer in Oxford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Python programming skills and experience with clinical trial data standards. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about clinical programming and how your expertise can contribute to our innovative projects. Keep it concise but impactful!
Showcase Your Team Spirit:Since collaboration is key in this role, mention any experiences where you’ve worked closely with biostatistics or data management teams. We love seeing candidates who can work well with others and lead junior programmers!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates!
How to prepare for a job interview at Warman O'Brien
✨Know Your Python Inside Out
Make sure you brush up on your Python programming skills before the interview. Be ready to discuss specific projects where you've used Python, especially in clinical research. Highlight any advanced techniques or libraries you've employed that could be relevant to the role.
✨Familiarise Yourself with SDTM and ADaM
Since strong knowledge of SDTM and ADaM is essential, take some time to review these standards. Prepare to explain how you've applied them in past projects, and be ready to discuss any challenges you faced and how you overcame them.
✨Showcase Your Collaborative Spirit
This role involves working closely with biostatistics, data management, and clinical teams. Think of examples where you've successfully collaborated with other departments. Emphasise your communication skills and how you ensure high-quality outputs through teamwork.
✨Prepare for Technical Questions
Expect technical questions related to programming datasets, tables, listings, and figures (TLFs). Review common scenarios you might encounter in clinical trials and be prepared to solve problems on the spot. This will demonstrate your analytical and problem-solving skills effectively.
