Statistical Programmer

Our mission

All new medicines need to undergo clinical trials to show theyre safe and effective. But todays 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 patientfriendly clinical trials. Were still a young company but weve already had a big impact. Since founding the company in March 2021 weve 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 highquality clinical trial data processing and analysis.

Were 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 highquality 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

• 35 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 welldocumented code

• Strong problemsolving skills a bias to action and interest in modelling and making things happen

• Excellent communication skills for collaborating with technical and nontechnical team members

• Bonus: You have experience working with CDISC standards such as SDTM ADaM and DefineXML

What youll 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 analysisready 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

• Upskill 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 worlds 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

• $2000 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)