Clinical Trial Programmer

Summary

Join Lindus Health, a company revolutionizing clinical trials with software, as a Statistical Programmer. You'll play a crucial role in scaling their clinical data capabilities, ensuring efficient and high-quality data processing and analysis. This position involves implementing data processing workflows across the clinical trial lifecycle, transforming raw data into meaningful insights, and collaborating with biostatisticians and data managers to enhance data workflows and automate processes. The ideal candidate will have a strong understanding of statistical programming in R, clinical trial data standards, and regulatory requirements.

Requirements

• 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

Responsibilities

• 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
• 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
• 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
• 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

Preferred Qualifications

You have experience working with CDISC standards such as SDTM, ADaM and Define-XML

Benefits

• 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