Deep Learning Engineer for Omics Data (f/m/x) Wiss2604-09

Faculty of Mathematics and Natural Sciences

Deep Learning Engineer for Omics Data (f/m/x)

Institute for Genetics and the Cluster of Excellence for Aging Research (CECAD)

We are one of the largest and oldest universities in Europe and one of the most important employers in our region.

Our broad range of subjects, the dynamic development of our main research areas and our central location in Cologne

make us attractive for students and researchers from around the world. We offer a wide range of career opportunities in

science, technology, and administration.

The Poetsch group is looking for a Deep Learning Engineer WE OFFER

(f/m/x) to support the team in the study of genomes and how » Opportunity to receive training in cutting-edge

they change with aging and in cancer development. This is a methods in using deep learning on genomics data

core-funded position with a strong collaborative focus and and their integration

the goal to build up deep learning infrastructures on Omics » A diverse working environment with equal opportunities

data for the lab and beyond. » Support in balancing work and family life

» Extensive advanced training opportunities

YOUR TASKS » Occupational health management offers

» Working closely with other lab members to convert » Flexible working time models

theoretical concepts into practical code

» Providing technical guidance to junior members and The University of Cologne promotes equal opportunities and

interns diversity. Women will be considered preferentially in accord-

» Implementing and evaluating state-of-the-art machine ance with the Equal Opportunities Act of North Rhine-Westlearning and deep learning techniques and algorithms, phalia (Landesgleichstellungsgesetz – LGG NRW). We also

with a strong focus on omics data expressly welcome applications from all suitable candidates

» Devising and testing new algorithms, often moving from regardless of their gender, nationality, ethnic and social

academic papers to working code origin, religion, disability, age, sexual orientation and identity.

» Creating internal tools to speed up research, such as

automated evaluation frameworks, data annotation tools, The position is available from 01.07.2026 on a full-time

or specialized libraries basis (39,83 hours per week). The position is to be filled

for a fixed term until 30.06.2028 with the possibility of an

YOUR PROFILE extension. If the applicant meets the relevant wage requi-

» PhD in Computer Science, Bioinformatics, Artificial rements and personal qualifications, the salary is based

Intelligence or a related field or equivalent experience on remuneration group 13 TV-L of the pay scale for the

level German public sector.

» Solid understanding of machine learning fundamentals,

including common algorithms, model training and Please apply online with proof of the required qualifications

evaluation techniques and a motivation letter (without a photo) under:

» Experience with Python programming and at least one https://jobportal.uni-koeln.de.

AI/ML framework(e.g. Tensor Flow, PyTorch) The reference number is Wiss2604-09. The application

» Exposure to data science concepts such as data pre- deadline is 20.05.2026.

processing, feature extraction, and exploratory analysis

» Exposure to biomedical data science For further inquiries, please contact Professor Dr Anna

» Curiosity and willingness to explore emerging AI domains Poetsch (apoetsch@uni-koeln.de) and take a look at our

in the biomedical domain FAQs.

» Very good interpersonal and communication skills; in

particular, the ability to effectively work in a diverse,

collaborative and interdisciplinary research environment

» Fluency in English – written and oral (German is not

required)