Statistical Programmer - #1778872

Our mission

All new medicines need to undergo clinical trials to show they’re safe and effective. But today’s clinical trial infrastructure is stuck in the past, and the cost of developing new medicines has skyrocketed as a result. Patients have to wait longer and pay more for new treatments.

Our mission is to fix this; we use software to help innovative companies run faster, more reliable, and patient-friendly clinical trials. We’re still a young company, but we’ve already had a big impact. Since founding the company in March 2021 we’ve 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: You have 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 troubleshooting 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
• Flexible working; we have an incredible office near London Bridge and encourage people to work 3 days per week from the office.
• Unlimited holidays; everyone is encouraged to take off at least 28 days each year
• £60 monthly wellness allowance with complete flexibility on how to spend this including opting in to a company private health insurance scheme through AXA, a wellhub membership and more!
• Access to gym and retail discounts through our benefits platform Happl.
• Enhanced Parental Leave - 16 weeks full pay for primary care giver & 6 weeks full pay for secondary care giver
• Cycle to work and other salary sacrifice schemes
• Regular whole company and team events, both in person and virtually!
• £1,000 Learning and Development allowance each year to put towards courses, certifications and development
• A well stocked pantry and drinks fridge, Monday breakfast spread and catered team lunch on a Thursday for the UK office every week!
• Regular 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 a member of the leadership team (30 minutes)
• Stakeholder virtual meeting with Emma Ogbrun, VP of Clinical Operations (15 minutes)