Clinical Trial Programmer in London

Our mission is to fix the outdated clinical trial infrastructure that has led to increased costs and longer wait times for new treatments. We use software to help innovative companies run faster, more reliable, and patient-friendly clinical trials. Since our founding in March 2021, we have helped run over 100 clinical trials involving tens of thousands of patients, with a customer NPS of 100. We recently raised a $55m Series B round from Balderton Capital, with support from Creandum, Firstminute, Seedcamp, and Visionaries.

About the role: Lindus Health are looking for a Statistical Programmer to join our Clinical Biostatistics team. This is a pivotal role in scaling our clinical data capabilities, ensuring efficient and high-quality clinical trial data processing and analysis. We’re looking for someone with experience in implementing data processing workflows across the full clinical trial life cycle, who can bring a creative and structured approach to transforming raw clinical data into meaningful insights. The ideal candidate will have a deep understanding of statistical programming in R, clinical trial data standards, and regulatory requirements to support high-quality, efficient, and reproducible analyses.

You will work closely with our Associate Director of Biostatistics and Data Management, Associate Director of Clinical Data Innovation, biostatisticians, and data managers to enhance data workflows, automate processes, and support clinical trial reporting.

About you:

• Degree and/or masters in Mathematics, Statistics, Physics, Engineering, Computer Science, or related highly quantitative field
• 3-5 years experience working with clinical trial data
• Strong programming skills in R with a focus on data manipulation and analysis
• Experience with data manipulation, visualisation, and reporting
• Ability to write clean, efficient, and well-documented code
• Strong problem-solving skills, a bias to action and interest in modelling and making things happen
• Excellent communication skills for collaborating with technical and non-technical team members
• Bonus: Experience working with CDISC standards such as SDTM, ADaM and Define-XML

What you’ll focus on:

• Data Processing & Transformation: Streamline our trial timelines and ensure data integrity, allowing us to handle more complex studies while maintaining quality. Implement data processing workflows using R packages to support clinical trial deliverables. Transform raw clinical trial data into analysis-ready datasets that meet study requirements. Automate data cleaning processes to improve efficiency and data quality.
• Analysis & Reporting Support: Enable us to spend more time on deeper insights and more efficient regulatory submissions. Develop TFL (Tables, Figures, and Listings) shell tables from specifications. Build and maintain a standardised library of R functions for common clinical trial analyses. Support biostatisticians by creating reusable code for standard analyses (e.g., AE tables, demographic tables). Review SAPs in collaboration with the Biostatistics team and troubleshoot early before implementation.
• Documentation & Knowledge Management: Help us to create a foundation for consistent quality across projects and faster onboarding of new team members. Document code and analytical processes to ensure reproducibility. Develop example submission packages, metadata descriptions, and transformation scripts as training resources. Create/adopt frameworks for describing and managing metadata to support automation.
• Collaboration & Continuous Improvement: Up-skill our team and redefine our processes, directly contributing to us delivering more efficient clinical trials. Design training materials to help the broader team follow data processing methodologies. Collaborate with the team to optimise data workflows and meet trial timelines. Contribute to continuous improvement of our data processing methods.

What we offer: Make an impact across all areas of our business and fix one of the world’s most broken industries. Competitive salary, plus meaningful stock options. Unlimited holidays; everyone is encouraged to take off at least 28 days each year. Health insurance coverage through our PEO Trinet. $40 monthly wellness allowance, which you can spend on a wellhub membership, or wellness activities and expenses of your choice! Enhanced Parental Leave: 16 weeks full pay for primary caregiver and 6 weeks full pay for secondary caregiver. $2,000 Learning and Development allowance each year to put towards courses, certifications, and development. Regular whole company and team events, both in person and virtually. Access to gym and retail discounts through our benefits platform Happl. Monthly lunch voucher for our remote teams. Charity events and fundraising opportunities through our charity partnership with the Forward Trust.

Our hiring process: Initial conversation with our Talent team (30 minutes). Second meeting with Michael- Senior Biostatistician (30 minutes). Functional interview with two Senior Leaders of our ClinOps/Biometrics team (45 minutes). Stakeholder Meeting with our Associate Director of Clinical Data Innovation (20 minutes). Values interview with a Cofounder and VP Clin Ops (30 minutes).