Open positions
We have two open positions:
- Postdoc at NCMM (Application deadline May 5, 2024): Postdoctoral fellow at NCMM: We have a 2-year funded postdoctoral fellow position available in computational biology of tumor heterogeneity. The position is part of the recently funded project "Gene regulatory networks of tumor heterogeneity and metastatic progression of colorectal cancer." The project is a collaboration with the Computational Oncology group led by Anita Sveen at the Institute for Cancer Research, OUS (see here for more information). The successful candidate will be embedded in both groups. The ideal project starting date is early summer 2024, but a potential later starting date can be discussed.
The joint project aims to identify the regulatory mechanisms of spatiotemporal tumor heterogeneity in colorectal cancer. The selected candidate will apply and combine computational tools to model gene regulatory networks in transcriptomics data. Tumor heterogeneity will be evaluated in multiregional samples of primary tumors and in multiple metastases from each patient. Drug target potential will be analyzed in a living biobank of tumor organoids screened for sensitivity to anticancer drugs. The proposed postdoc candidate will be trained in computational analyses and collaborate in an interdisciplinary translational research environment with bioinformaticians, molecular biologists, cell biologists, and clinical researchers. All needed infrastructure is established, and computational tools and molecular data are available.
- Postdoc at FIMM (Application deadline May 31, 2024): We have a 2.5-year funded postdoctoral fellow position available in spatial transcriptional regulation through Nordic EMBL's NORPOD postdoctoral program. This is a collaboration with Anniina Färkkilä's group at FIMM.
The project aims to understand the spatial transcriptional regulation of tumor cell states that drive chemoresistance in ovarian cancer. In candidate we will integrate multiplexed single-cell spatial proteomics, transcriptomics and chromatin states using unique novel spatial technologies and deep learning methods developed in the Kuijjer group. The two EMBL groups have highly synergistic approaches enabling an unprecedented analysis and exploitation of rich spatial multi-omics datasets generated in a unique prospective clinical trial. The results will pave the way for the development of more effective treatments for ovarian cancer patients.
The NORPOD Fellow will be employed at the Färkkilä Lab (FIMM, University of Helsinki, Finland). To promote collaboration between the two labs, this position will involve short stays at the Kuijjer Lab (NCMM, University of Oslo, Norway). Successful candidates are expected to travel between the labs to conduct work required for the research project, foster synergies and advance our goals. Expenses related to the research visits will be covered.