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

Universität zu Köln; Köln; Vor Ort; EUR 60.000 - 90.000; Vollzeit

Benefits dieser Stelle

Training opportunities

Diverse environment

Flexible working hours

Family-friendly policies

Zusammenfassung

The University of Cologne invites applications for a Deep Learning Engineer (f/m/x) to support omics data research in ageing and cancer. You will help build deep learning infrastructures and collaborate across genetics, biology and informatics teams.

Required is a PhD in CS/Bioinformatics/AI or related field, strong ML fundamentals, Python and at least one framework (TensorFlow or PyTorch). Fluent English is essential; German not required.

Qualifikationen

• PhD in Computer Science, Bioinformatics, Artificial Intelligence or a related field or equivalent experience.
• Solid understanding of machine learning fundamentals and algorithms.
• Experience with Python programming and at least one AI/ML framework (TensorFlow or PyTorch).
• Exposure to data science concepts such as preprocessing, feature extraction, and exploratory analysis.
• Fluency in English; German not required.

Aufgaben

• Convert theoretical concepts into practical code, providing guidance to junior members and interns.
• Implement and evaluate state-of-the-art ML and deep learning techniques on omics data.
• Devise and test new algorithms, often moving from academic papers to working code.
• Create internal tools to speed up research, such as evaluation frameworks and data annotation tools.

Kenntnisse

Python

ML frameworks

Ausbildung

PhD in Computer Science

PhD in Bioinformatics

PhD in Artificial Intelligence

Tools

TensorFlow

PyTorch

Jobbeschreibung

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(f/m/x) to support the team in the study of genomes and how they change with ageing and in cancer development. This isa core-funded position with a strong collaborative focus andthe goal to build up deep learning infrastructures on Omicsdata for the lab and beyond.

YOUR TASKS

• Working closely with other lab members to convert
• theoretical concepts into practical code Providing technical guidance to junior members and
• interns Implementing and evaluating state-of-the-art machine
• learning and deep learning techniques and algorithms,with a strong focus on omics data
• Devising and testing new algorithms, often moving fromacademic papers to working code
• Creating internal tools to speed up research, such asautomated evaluation frameworks, data annotation tools,or specialized libraries

YOUR PROFILE

• PhD in Computer Science, Bioinformatics, Artificial
• Intelligence or a related field or equivalent experiencelevel
• Solid understanding of machine learning fundamentals,including common algorithms, model training and
• Experience with Python programming and at least oneAI/ML framework(e.g. Tensor Flow, PyTorch)
• Exposure to data science concepts such as datapreprocessing, feature extraction, and exploratoryanalysis
• Exposure to biomedical data science Curiosity and willingness to explore emerging AI domains
• 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 notrequired)

WE OFFER

• Opportunity to receive training in cutting-edge and their integration
• A diverse working environment with equal opportunities
• Support in balancing work and family life
• Flexible working time models
• Extensive advanced training opportunities
• Occupational health management offers

The University of Cologne promotes equal opportunities and diversity. Women will be considered preferentially in accordance with the Equal Opportunities Act of North RhineWestphalia (Landesgleichstellungsgesetz – LGG NRW).We also expressly welcome applications from all suitablecandidates regardless of their gender, nationality, ethnic and social origin, religion, disability, age, sexual orientation and identity.

The position is available at the earliest possible time on a full-time basis (39,83 hours per week). The position is to be filled for a fixed term until 30 September 2028 with the possibility of an extension. If the applicant meets the relevant wage requirements and has the appropriate personal qualifications, the salary is based on remuneration group13 TV-L of the pay scale for the German public sector.

For further inquiries, please contact Professor DrAnna Poetsch ([e-mail]) and take a look atour FAQs.

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

Faculty of Mathematics and Natural Sciences

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