Deep Learning Engineer for Omics Data (f/m/x) Wiss2604-09 | Institute for Genetics and the Clus[...]

Deep Learning Engineer for Omics Data (f/m/x) Wiss | Institute for Genetics and the Cluster of Excellence for Aging Research (CECAD)

We are looking for a Deep Learning Engineer (f/m/x) to support the Poetsch group in studying genomes and how they change with aging and in cancer development. This core‑funded position focuses on building deep learning infrastructures on omics data for the lab and beyond.

Responsibilities

• Work closely with other lab members to convert theoretical concepts into practical code.
• Provide technical guidance to junior members and interns.
• Implement and evaluate 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 from academic papers to working code.
• Create internal tools to speed up research, such as automated evaluation frameworks, data annotation tools, or specialized libraries.

Qualifications

• PhD in Computer Science, Bioinformatics, Artificial Intelligence or a related field, or equivalent experience.
• Solid understanding of machine learning fundamentals, including common algorithms, model training and evaluation techniques.
• Experience with Python programming and at least one AI/ML framework (e.g. TensorFlow, PyTorch).
• Exposure to data science concepts such as data pre‑processing, feature extraction, and exploratory analysis.
• Exposure to biomedical data science.
• Curiosity and willingness to explore emerging AI domains in the biomedical domain.
• Very good interpersonal and communication skills; ability to effectively work in a diverse, collaborative and interdisciplinary research environment.
• Fluency in English – written and oral (German is not required).

Benefits

• Opportunity to receive training in cutting‑edge methods in using deep learning on genomics data and their integration.
• A diverse working environment with equal opportunities.
• Support in balancing work and family life.
• Extensive advanced training opportunities.
• Occupational health management offers.
• Flexible working time models.

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

Job Details

• Position available from on a full‑time basis (39.83 hours per week).
• Fixed term until , with possibility of extension.
• Salary based on remuneration group 13 TV‑L of the German public sector pay scale.
• Reference number: Wiss .

Job posted on :59 CET.