
Cancer Data Science Researcher
3 days ago
Company Overview
The Faculty of Medicine at the University of Helsinki invites applications for a fixed-term position of Postdoctoral Researcher in the field of cancer data science. Our research group focuses on developing computational methods to understand regulatory mechanisms driving cancer heterogeneity and progression.
We are 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.
Job Description
This project will focus on implementing a hierarchical Variational Autoencoder (VAE) framework to integrate bulk multi-omics cancer data. You will analyze large-scale multi-omics datasets and contribute to research with direct relevance to human health.
Required Skills and Qualifications
- PhD degree in computational biology, bioinformatics, computer science, biostatistics, cancer genomics, network science, or related fields
- Strong analytical and problem-solving skills with ability to develop and maintain computational tools for biological data analysis
- Proficiency in programming, experience with high-performance computing and GPU acceleration tools (e.g. CUDA), and deep learning frameworks such as TensorFlow or PyTorch
Benefits
You will have the chance to work on cutting-edge data science projects funded by the iCAN Flagship in Digital Precision Cancer Medicine. You will be part of a dynamic, interdisciplinary research environment, collaborating with experts in computational biology, cancer research, and precision medicine.
Others
The University of Helsinki offers 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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