Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our team as a Statistical Programmer to enhance clinical trial data processing and analysis.
- Company: Lindus Health is revolutionising clinical trials with innovative software solutions for faster, patient-friendly treatments.
- Benefits: Enjoy unlimited holidays, health insurance, wellness allowances, and a generous learning budget.
- Why this job: Make a real impact in healthcare while working in a dynamic, supportive environment with a strong team culture.
- Qualifications: Degree in a quantitative field and 3-5 years of experience with clinical trial data and R programming.
- Other info: Be part of a rapidly growing company that values creativity and collaboration in transforming healthcare.
The predicted salary is between 36000 - 60000 £ per year.
Our mission is to fix the outdated clinical trial infrastructure that has led to increased costs and longer wait times for new medicines. 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, achieving 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 is 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 seek 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 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 includes an initial conversation with our Talent team, followed by meetings with key team members and a values interview with a Cofounder and VP Clin Ops.
Statistical Programmer employer: Lindus Health Limited
Contact Detail:
Lindus Health Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Statistical Programmer
✨Tip Number 1
Familiarise yourself with the specific R packages used in clinical trial data processing. Understanding tools like dplyr, ggplot2, and tidyr can give you an edge in demonstrating your technical skills during interviews.
✨Tip Number 2
Showcase your problem-solving abilities by preparing examples of how you've tackled challenges in previous projects. Be ready to discuss how you approached data manipulation and analysis in a structured way.
✨Tip Number 3
Network with professionals in the clinical trials field, especially those familiar with CDISC standards. Engaging in relevant online forums or attending industry webinars can help you make valuable connections and learn more about the role.
✨Tip Number 4
Prepare to discuss your experience with documentation and knowledge management. Highlight any past work where you created training materials or documented processes, as this aligns well with the responsibilities of the role.
We think you need these skills to ace Statistical Programmer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with clinical trial data and programming skills in R. Emphasise any relevant projects or roles that demonstrate your ability to handle data processing workflows and analysis.
Craft a Compelling Cover Letter: In your cover letter, express your passion for improving clinical trials and how your skills align with the company's mission. Mention specific experiences that showcase your problem-solving abilities and collaboration with technical teams.
Showcase Relevant Skills: Clearly outline your programming skills, particularly in R, and any experience with CDISC standards. Provide examples of how you've transformed raw data into meaningful insights in previous roles.
Prepare for Interviews: Research common interview questions for statistical programmers and be ready to discuss your approach to data manipulation and analysis. Prepare to explain your coding practices and how you ensure reproducibility in your work.
How to prepare for a job interview at Lindus Health Limited
✨Showcase Your R Skills
Since the role requires strong programming skills in R, be prepared to discuss your experience with data manipulation and analysis. Bring examples of projects where you've used R effectively, and if possible, demonstrate your coding abilities during the interview.
✨Understand Clinical Trial Standards
Familiarise yourself with CDISC standards such as SDTM and ADaM, as these are crucial for the role. Be ready to explain how you have applied these standards in previous roles or how you would approach them in this position.
✨Prepare for Collaboration Questions
Given the collaborative nature of the role, think of examples that highlight your communication skills and teamwork. Be ready to discuss how you've worked with both technical and non-technical team members to achieve project goals.
✨Demonstrate Problem-Solving Skills
The job description emphasises strong problem-solving abilities. Prepare to share specific instances where you've tackled complex issues in data processing or analysis, showcasing your analytical thinking and bias towards action.
