
Deep Learning Expert in Precision Medicine
4 days ago
We are seeking a highly motivated and experienced researcher to join our team as a Senior Cancer Data Scientist.
The position is part of the Cancer Data Science group led by Mariike Kuijjer at iCAN Flagship in Digital Precision Cancer Medicine, Department of Biochemistry and Developmental Biology, at the Faculty of Medicine, University of Helsinki.
The project will focus on using and extending deep learning-based approaches developed within the group to integrate bulk multi-omics cancer data.
About the Team
- The Cancer Data Science group specializes in developing computational methods to understand the regulatory mechanisms driving cancer heterogeneity and progression.
- The group is embedded in iCAN and connected to an active and welcoming computational biology community across the Nordics.
Key Objectives
- To develop novel computational approaches for integrating bulk multi-omics cancer data.
- To analyze large-scale multi-omics datasets using deep learning frameworks such as TensorFlow or PyTorch.
- To contribute to the development of predictive models of cancer outcomes and treatment resistance.
Benefits
- A generous salary based on the university salary system.
- A full-time position with possibility of extension, subject to future funding.
- Comprehensive services to its employees, including occupational health care and health insurance, unemployment and pension fund, a generous holiday package, sports facilities, and opportunities for professional development.
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