Postdocs (f/m/x) in Machine Learning or Computational Biology
Full time39 h/week
Neuherberg near Munich
Home Office Options
We are Helmholtz Munich. In a rapidly changing world, we discover breakthrough solutions for better health.
Our research is focused within the areas of metabolic health/diabetes, environmental health, molecular targets and therapies, cell programming and repair, bioengineering, and computational health. We particularly excel in the fields of basic research, bioengineering, artificial intelligence, and technological development.
Through this research, we build the foundations for medical innovation. Together with our partners, we seek to accelerate the transfer of our research, so that laboratory ideas can reach society and improve people’s quality of life at the fastest rate possible.
This is what drives us. Why not join us and make a difference?
The Computational Health Center at Helmholtz Munich is a dynamic and innovative institution engaged in the development of artificial intelligence (AI) methods for biomedical applications. In this highly explosive and relevant field of research we are one of the largest and most recognized centers in Germany. On a national and international level we are active and recognized in numerous initiatives and networks.
Background
Spatial multi-omics technologies are currently pushing the boundaries of single-cell profiling techniques. By measuring the position of every cell alongside multiple views of cellular activity, these technologies promise to deliver crucial insights to understand tissue function and regulation, especially in diseases with distinct spatial patterning such as lung cancer. However, methods to analyse these data are lacking. We are looking to develop approaches to integrate spatial data across modalities and apply these methods to predict and analyse lung cancer progression.
These Postdoc positions will be embedded into the SPACETIME project, an EU consortium studying how spatial cellular organization changes with disease severity in non-small cell lung carcinoma. The successful applicant will be collaborating with biologists, clinicians, biotechnologists, and other computational biologists or machine learning scientists to improve outcomes for lung cancer patients by building better diagnostics, expanding our understanding of disease mechanisms, and developing treatment options. Postdoc 1 (with machine learning experience) will be supervised by Prof. Fabian Theis and Postdoc 2 (with single-cell or spatial data analysis experience) will be supervised by Dr. Malte Lücken. A high degree of synergy is expected between these positions.
"We believe that excellent research requires a range of different perspectives. Diverse teams reach better solutions and are more innovative in their research topics.
Establishing our Diversity Management Strategy demonstrates our commitment to ensuring an appreciative company culture based on mutual respect. We are also implementing diversity-sensitive processes throughout our whole organization."
Your tasks
- Develop, test, and apply approaches to integrate single-cell and spatial omics data across modalities
- Analyse lung cancer data from mouse models and patient samples
- Inform experimental design for spatial transcriptomic measurements
- Present your research at international meetings
- Interface with clinicians, biologists, and core facilities
- Work in a highly collaborative environment with a dynamic and agile team
- Direct and tangible feedback from the community on your work in a very inclusive and skilled community
Your profile
- PhD degree in Computational Biology, Bioinformatics, Statistics, Mathematics, Physics, Computer Science, or related fields
- Experience in the analysis of single-cell and/or spatial omics data
- Extensive knowledge of the scientific computing and machine learning ecosystem in Python (pands, scikit-learn, pytorch, tensorflow)
- Knowledge of software development practices (version control, unit testing, documentation)
- Very good English skills
Desired Qualifications
- Experience in the modelling or analysis of imaging data
- Experience interpreting biological data
- Prior experience or demonstrated interest in oncology
Benefits
- Career Development: Postdoc program, scientific training & career center with tailored offers
- Scientific Resources: State-of-the-art infrastruture and Core Facilities
- Recreation: 30 days annual leave, flexi days, plus public holidays
- International Staff Service: Support with the relocation and integration process in Germany
- Health Promotion: Sports, company doctor, mental health initiatives
Since 2005, we hold the TOTAL E-QUALITY award for exemplary action in the sense of an equal-opportunity organizational culture.
Helmholtz Munich is actively committed to diversity and inclusion in practice and is sustainably committed to equality.
The Diversity Charter has set itself the goal of promoting diversity in the world of work. By signing the charter, we commit ourselves to create an appreciative working environment for all employees.
If you fulfil all the requirements, you may be eligible for a salary grade of up to E 13. Social benefits are based on the Collective Wage Agreement for Public-Sector Employees (TVöD). The position has an (initial) fixed term of 5 years but may be extended under certain circumstances.
We are committed to promoting a culture of diversity and welcome applications from talented people regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical abilities, religion or age. Qualified applicants with physical disabilities will be given preference.
If you have obtained a university degree abroad, we will require further documents from you regarding the comparability of your degree. Please request the Statement of Comparability for Foreign Higher Education Qualifications as early as possible.
Interested in applying?
- CV
- Cover letter
- Degrees/Diplomas/Certificates
- Contact details for at least two referees
