Forwarding a job ad from my network, since it may be interesting to some. I have, however, no specific knowledge of the group or project.

Postdoctoral Researcher (m/f/d) – “Artificial Intelligence in Genomics”

• Location: Center for Human Genetics and Genomic Medicine

• Working Hours: 100% full-time standard working hours (currently 38.5 hours/week)

• Contract Duration: Initially 3 years under the Academic Fixed-Term Contract Act (WissZeitVG); extension intended

• Start Date: As soon as possible

• Salary Grade: EG 13 (TV-L)

Project Overview

The goal of this project is to develop robust data analysis pipelines for processing multimodal health data. The focus lies on implementing the following key aspects:

• Multimodal Learning Approaches: Developing AI models to integrate/fuse diverse data types (genetic signatures, clinical profiles) to identify precise diagnostic or prognostic biomarkers.

• Cohort Analyses: Conducting statistically sound analyses of large patient cohorts to gain insights into risk factors and therapeutic approaches.

• Data Engineering: Further developing and optimizing the existing data architecture and improving data exchange across different research groups.

Large genomic and clinical datasets will be utilized to:

• Efficiently classify genetic variants

• Identify disease-associated patterns

• Improve the interpretation of sequence data (e.g., NGS)

• Develop predictive models for genetic diseases

• Identify biomarkers with therapeutic or prognostic relevance

Work will be conducted in close collaboration with clinical and molecular genetics research teams, contributing directly to the advancement of personalized medicine.

Key Responsibilities

• Development, implementation, and evaluation of Machine Learning algorithms (e.g., Deep Learning, classification models, agent systems, etc.)

• Analysis and integration of complex genomic datasets

• Data preprocessing and visualization

• Participation in scientific conferences

• Contribution to third-party funded projects

Required Profile & Qualifications

• Completed university degree (Master’s, Diploma, or equivalent) in Bioinformatics, Computer Science, Biology, Molecular Biology, Biochemistry, or related disciplines, plus a completed PhD / Doctorate.

• Solid knowledge of Machine Learning and Statistics.

• Proficiency in common programming languages, particularly Python.

• Experience working with clinical or biomedical datasets.

• Experience setting up and managing relational databases.

• Basic understanding of genomic data analysis.

Desirable / Nice to Have:

• Scientific interest in human genetics.

• Experience with Deep Learning frameworks (e.g., TensorFlow, PyTorch).

• Experience with LLM frameworks and orchestration systems (e.g., LangChain or similar).

• Experience with foundation models and their applications/adaptations (Fine-Tuning, Prompt Engineering, parameter-efficient tuning like LoRA/Adapters).

• Knowledge of Next-Generation Sequencing (NGS) data analysis.

• Experience in High-Performance Computing (HPC).

• Analytical and structured mindset.

• High motivation and team-oriented approach in an interdisciplinary environment.

• Initiative, commitment, strong organizational skills, and reliability.

• Creativity in solving complex problems.

What We Offer

• 30 days of paid vacation/year (for full-time employment).

• Above-average company pension scheme (VBL).

• Continuing education and professional development opportunities.

• Relaxed commute – subsidized public transport ticket or parking space, plus access to the GoFlux app.

• Family-friendly company culture – company daycare, “Kinderland”, flexible working hour models, and various support services from HR for work-life balance.

• Onboarding app for new employees.

• “Fit & Gesund” – comprehensive health promotion programs to university sports.

Application Process

Please submit your application via the job portal referencing reference number *GB-P-56159*.

Application Deadline: August 7, 2026.

Contact Details:

• Institution: Uniklinik RWTH Aachen, Center for Human Genetics and Genomic Medicine

• Director of Clinical Genomics: Univ.-Prof. Dr. med. Miriam Elbracht

• Director of Human Genetics: Univ.-Prof. Dr. med. Ingo Kurth

Pauwelsstraße 30, 52074 Aachen, Germany

For inquiries, please contact: Dr. med. Jeremias Krause

• Email: jerkrause@ukaachen.de

• Phone: +49 (0)241 80 85513

_We look forward to receiving your application!_

Additional Information:

This job advertisement is aimed at all genders. Uniklinik RWTH Aachen promotes equal opportunity and diversity. Applications from women are specifically welcome and encouraged and will be given preference in accordance with the state equal opportunities act (LGG).

Applications from individuals with severe disabilities are welcome and will be given priority in cases of equal qualification.

Part-time employment below the weekly hours mentioned above is generally possible.

Applications should be submitted via the digital portal at www.ukaachen.de under “Stellenmarkt”. Applications sent by email to

<mailto:bewerbung@ukaachen.de|bewerbung@ukaachen.de>

will be transferred to the digital portal.

This is a so interesting job ! Though I'm in the UK, not sure whether they accept remote work 🙂

Happy to hear that you found the ad useful. I have no further information regarding the job and the deadline has already passed, but I recommend to reach out to Jeremias Krause anyway - maybe regarding a collaboration or a future opening?

Sounds good ! Thank you Matthias 😊