Postdoctoral Researcher in Computational Cancer
vor 3 Monaten
Postdoctoral Fellowships
EMBL Heidelberg
Our research group is pioneering computational methods for deciphering molecular variation across individuals, space, and time. We have a track record in the development of computational methods for genetics, high-throughput omics data and causal discovery. Our interdisciplinary and international team is jointly located at DKFZ and EMBL Heidelberg, and is connected to the vibrant local ecosystem for data science, machine learning and computational biology in Heidelberg (including ELLIS Life Heidelberg and the AI Health Innovation Cluster).
Your role
Possible directions within this project include:
- data integration and analysis to identify cis-regulatory elements
- analysis of 3D genome organisation for the identification of transcription factors and gene programs
- spatial profiling in primary tumours to identify spatial gene signatures
**Closing date**: 17 October 2024
Contract duration: 3 years
Grading: Stipend year 1
Reference number: HD02703
You have
- A PhD or equivalent qualification in computer science, statistics, mathematics, physics, and/or engineering, or a degree in biological science with demonstrated experience in computational and statistical development.
- Experience with implementing statistical learning or machine learning (e.g. Bayesian inference, deep-learning).
- Programming skills in Python and experience with frameworks like PyTorch, Keras, Pyro or TensorFlow.
- The motivation and dedication to lead a scientific project and you are a supportive, creative and responsible team member.
You might also have
Why join us
We are Europe’s research laboratory for the life sciences - an intergovernmental organisation performing scientific research in disciplines including molecular biology, physics, chemistry and computer science. We are an international, innovative and interdisciplinary laboratory.
This is a great opportunity to develop expertise at the interface of data analysis and translational epigenetics, and to develop computational methods to advance our understanding of life. You will be part of a very interactive, collaborative and intercultural team.
EMBL is an inclusive, equal opportunity employer offering attractive conditions and benefits appropriate to an international research organization with a very collegial and family friendly working environment. We are committed to diversity and equality, and encourage women and underrepresented groups to apply. Competitive salary and social security benefits, financial support for relocation, a relaxed culture, professional development, an on-site nursery, canteen and other staff facilities make EMBL a great place to work.
What else you need to know
- ** Contract duration**: This position is a 3 year contract, renewable to a maximum of 5 years.
- **EMBL is a signatory of DORA.** Find out how we implement best practices in research assessment in our recruitment processes here
- **Job location**: This role is based in Heidelberg, Germany.
**Recent publications**:
- Clarke, B., Holtkamp, E., et al. Integration of variant annotations using deep set networks boosts rare variant association testing. Nature Genetics (_in press_)
- Marconato, L., Palla, G., Yamauchi, K. A., Virshup, I., et al. SpatialData: an open and universal data framework for spatial omics. Nature Methods (2024)
- Velten, Britta, et al. Identifying temporal and spatial patterns of variation from multi-modal data using MEFISTO. Nature Methods (2022)
- Kleshchevnikov, Vitalii, et al. Cell2location maps fine-grained cell types in spatial transcriptomics. Nature Biotechnology (2022)
- Argelaguet, R., et al. Multi-Omics factor analysis disentangles heterogeneity in blood cancer. Molecular systems biology (2018)
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