In the Systems Genetics and Machine Learning Lab at the Institute of AI for Health (AIH) and the Helmholtz Pioneer Campus, we develop and apply machine learning solutions to analyse large clinical and molecular datasets addressing fundamental biomedical questions such as: Which are the molecular, cellular and organ-level traits associated with disease? Which ones are causative? Do they manifest in specific patient groups? Can we find interventions to revert these processes? We aim to leverage large biomedical cohorts and scalable machine learning approaches to further our understanding of human disease.

Given our strong focus on data integration, scalability and robustness, our research requires computational tools and infrastructure to enable reproducible machine learning experimentation and efficient data handling. As Staff Research Engineer (f/m/x) in the lab, you will be developing these tools, working at the interface of software engineering and data science, enabling researchers to be more productive.

What we offer you
work-life balance flexible working hours & working-time models continuous education and training 30 days annual leave on-site health management service	Leadership role in software/infrastructure projects Opportunity to contribute to multiple scientific project on-site nursery & holiday care company pension scheme discounted public transport ticket

Munich, with its numerous lakes and its vicinity to the Alps, is considered to be one of the cities with the best quality of life worldwide. With its first-class universities and world-leading research institutions it offers an intellectually stimulating environment.

Provided that the prerequisites are fulfilled, a salary level up to E 14 is possible. Social benefits are based on the collective agreement for the federal public service (TVöD). The position is (initially) limited to 2 years, under certain circumstances an extension can be arranged.

To promote diversity, we welcome applications from talented people regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical abilities, religion and age. Qualified applicants with physical disabilities will be given preference.
If you have obtained a university degree abroad, we require further documents from you regarding the recognition of the degree. Please request the recognition as early as possible.

We are looking forward to receiving your comprehensive online application:

• Curriculum vitae
• Motivation letter: the reason for applying for this position and why you think you are the right candidate to fill this position (1 page max)
• At least two reference contacts
• Copy of your diploma/degree certificates.