Statistical Programmer
Cogitars
Description
Who we are
Cogitars is a biostatistics consulting company with 20 employees in Europe 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 specialized 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
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, visualization, analysis, and submission-ready delivery of clinical trial data.
In this role, you would be expected to support development of data-driven strategies for data standardization and contribute to real-time monitoring of clinical trials though our Data Visualization tool cogiviz.
Key Responsibilities
- Develop, validate, and maintain programs for visualization and wrangling
of clinical data using our clinical visualization tool cogiviz;
- Write and review
R and Python
programs for data transformation, statistical analysis, and reporting, including TLFs (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 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 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.
- SAS programming experience is a plus.
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 conf