Statistical Programmer (R programming) (f/m/d)

Who we are

Cogitars is a biostatistics consulting company with 20 employees supporting small and mid-size biotech and pharmaceutical companies across the full development lifecycle, from preclinical research through all clinical phases (Phase I–IV) to HTA.

We specialize in oncology, while also supporting additional therapeutic areas such as immunology, diabetes, and radiotherapy. We are specialised in Bayesian trial designs, enabling more efficient and informed decision-making in clinical studies.

Since 2013, we have built long-standing partnerships with international clients, providing flexible statistical support at every stage of development. Our services include study design, statistical analysis, reporting, and regulatory support, always tailored to the specific scientific and operational needs of each project.

Who we are looking for

We are seeking a highly skilled Statistical Programmer to join the Bioinformatics team at Cogitars on a full-time basis. In this role, you will sit at the intersection of clinical data science, statistics, and data engineering — playing a key role in the design, visualisation, analysis, and submission-ready delivery of clinical trial data.

In this role, you would be expected to support development of strategies for data standardisation and contribute to real-time monitoring of clinical trials though our Data Visualization tool cogiviz.

Key Responsibilities

• Write and review R and Python programs for data transformation, statistical analysis, and reporting, including Tables, Listings, and Figures;
• Contribute to the development of internal standards and reusable code libraries in R/Python.
• Develop, validate, and maintain CDISC-compliant data pipelines, including SDTM and ADaM dataset creation;
• Author and review CDISC implementation, including SDTM, ADaM, define.xml, and Reviewer's Guides.
• Develop, validate, and maintain programs for visualisation and wrangling of clinical data using our clinical visualisation tool cogiviz;
• Develop and automate data validation checks.

Required Qualifications

• Bachelor's + 5 years of relevant experience / Master's + 2 years of relevant experience / PhD degree in Bioinformatics, Data Science, Biostatistics, or a related field.
• Advanced proficiency in both R and Python for data manipulation, analysis, and visualization (e.g., tidyverse, pandas, numpy).
• Familiarity with version control systems such as Git/GitHub and workflows.
• Experience with cloud platforms (AWS or Azure) or HPC environments.

Preferred Qualifications (from major to minor)

• Previous experience with the usage of admiral or other pharmaverse packages.
• Previous experience in clinical data science or statistical programming within the pharmaceutical, biotech, or CRO.
• Hands-on experience with relational databases and JavaScript.
• Proficiency with AI-based tools for programming.
• Working knowledge of CDISC standards: e.g. SDTM, ADaM, define.xml, and associated controlled terminology.
• Knowledge of Streamlit or similar platforms for data visualization.
• Experience supporting regulatory submissions (eCTD, FDA, EMA).
• Experience with oncology clinical programs.
• Familiarity with clinical data management systems.

What we offer

At Cogitars, you're a core part of how we grow. We're an ambitious team where your work directly shapes client outcomes and company direction. We'll invest in your development based on your interests and strengths.

• Meaningful and high-impact work across multiple clinical trial projects
• A collaborative team of statisticians and bioinformaticians
• Flexible working arrangements (Heidelberg office preferably, open to remote options)
• Professional trainings and conference attendance in statistics and statistical programming for continued development

If this sounds like the right fit, please send us your application.