Post Doc Sustainable Data-Driven Clinical Analytics

The Position

The growing importance of data driven clinical analytics creates a unique opportunity to shape the future of Clinical Functional Capabilities and Clinical Pharmacokinetics. In an environment where modern data ecosystems, integrated analytical workflows, and reusable code based solutions are rapidly evolving, this role takes on a pivotal position by bridging scientific questions with robust technical implementation and directly contributing to high quality, reproducible insights. Become part of our team and make a meaningful impact on how clinical data is translated into better decisions and ultimately improved outcomes.

This Position is limited for 2 years.

To make it easier to find our job advertisements, we use the usual designation "postdoc". Of course, this advertisement is not only addressed to applicants directly after completing their doctorate, but to all qualified candidates.

Tasks & responsibilities

• Develop reusable, standardized R-based workflows for data preparation, analysis, visualization, and reporting in clinical analytics


• Use pharmacokinetics as an initial application area to create high-value analytical solutions with broader long-term applicability


• Improve data flow from source to analysis output to increase transparency, reduce manual effort, and support more direct use of available data


• Translate scientific questions into robust, interpretable, and maintainable analytical workflows in close collaboration with domain experts and technical colleagues


• Contribute to reproducible analytics by applying version control, documentation, testing, and modular workflow design principles


• Support capability building during the transition to new analytical environments by creating solutions that are scalable, practical, and sustainable


• Help enable broader adoption of modern analytical approaches through clear outputs, reusable components, and collaborative ways of working

Requirements

• PhD in bioinformatics, computational biology, biostatistics, data science, or a related quantitative discipline


• Strong R programming skills, including reproducible analysis, data wrangling, and structured reporting


• Experience with version control, documentation, modular code, testing, and reusable analytical components


• Familiarity with database concepts, structured data handling, and modern analytics platforms such as Databricks


• Ability to translate domain questions into interpretable, robust, and structured analyses


• Interest in pharmacokinetics as an initial application area


• Strong collaboration skills with a focus on reproducibility, clarity, and maintainable outputs

Start date: asap

Salary range: According to the “Collective Agreement on Minimum Annual Salaries for Academically Qualified Employees in the Chemical Industry”. This target can be achieved if requirements and personal aspects are fulfilled. The internal company regulations underlying the stated salary range (AT) as well as further information on our remuneration policies are available on the intranet: Compensation. Applications from persons with severe disabilities are warmly welcomed. In cases of equal qualifications, such applicants will be given preferential consideration in the selection process.

Internal job offers are generally addressed to employees working in their current position for at least one year or working on a fixed term contract ending within one year.

Employees with a current contract of permanent duration are allowed to send their application for this position. Note for permanent employees: In case you are hired for the temporary advertised position, your permanent employment relationship will remain in effect.

Ready to contact us? 

If you have any questions about the job posting or process - please contact our HR Direct Team, Tel: +49 (0) 6132 77-3330 or via mail: [email protected]

Recruitment process:

Step 1: Online application - The job posting is presumably online until August 4th, 2026. We reserve the right to take the posting offline beforehand.
Step 2: Virtual meetings starting end of July/August
Step 3: On-site interviews in July/August