Deep Learning Engineer for Omics Data (f/m/x) Wiss2607-16

Faculty of Mathematics and Natural Sciences

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

Institute for Genetics (IfG) and the Cluster of Excellence for Ageing 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 ageing and in cancer development. This is methods using deep learning on genomics data

a 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

» Flexible working time models

YOUR TASKS » Extensive advanced training opportunities

» Working closely with other lab members to convert » Occupational health management offers

theoretical concepts into practical code

The University of Cologne promotes equal opportunities and

» Providing technical guidance to junior members and

diversity. Women will be considered preferentially in accorinterns

dance with the Equal Opportunities Act of North Rhine-

» Implementing and evaluating state-of-the-art machine

Westphalia (Landesgleichstellungsgesetz – LGG NRW).

learning and deep learning techniques and algorithms,

We also expressly welcome applications from all suitable

with a strong focus on omics data

candidates regardless of their gender, nationality, ethnic and

» Devising and testing new algorithms, often moving from

social origin, religion, disability, age, sexual orientation and

academic papers to working code

identity.

» Creating internal tools to speed up research, such as

automated evaluation frameworks, data annotation tools,

The position is available at the earliest possible time on a

or specialized libraries

full-time basis (39,83 hours per week). The position is to

be filled for a fixed term until 30 September 2028 with the

Your Profile

possibility of an extension. If the applicant meets the rele-

» PhD in Computer Science, Bioinformatics, Artificial

vant wage requirements and has the appropriate personal

Intelligence or a related field or equivalent experience

qualifications, the salary is based on remuneration group

level

13 TV-L of the pay scale for the 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 Wiss2607-16. The application

» Exposure to data science concepts such as data

deadline is 27 August 2026.

preprocessing, feature extraction, and exploratory

analysis

For further inquiries, please contact Professor Dr

» Exposure to biomedical data science

Anna Poetsch (apoetsch@uni-koeln.de) and take a look at

» Curiosity and willingness to explore emerging AI domains

our FAQs.

in the biomedical domain

» 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)