Lund University, the Faculty of medicine, and the department of laboratory medicine are hiring a postdoctoral fellow how will work at at the the Division of Clinical Genetics in a project untangling how selection from the tumor microenvironment shapes the clonal landscape of cancer!
The Cancer Crossroads Project is funded by the LMK Foundation and hosted by Lund University in Sweden. You will join a small team of scientists working at the interface of evolutionary ecology, computer modelling and cancer genomics. We employ these disciplines to build novel treatment concepts for childhood tumors, in particular neuroblastoma, rhabdomyosarcoma and Wilms tumor. By detailed multi-regional sampling followed by analysis of copy number and sequence data, we construct cancer cell phylogenies and deduce evolutionary trajectories. A recent example of our work can be found in Nature Genetics 2018 (50:944-950).
Work duties:
Your focus will be to apply and develop computational tools to unravel how todays’ cancer treatments and the patient’s own immune response shape the genome of cancer cells through Darwinian selection. Your main challenge will be to compare mutational patterns to multi-regional data on the tumor micro-environment, such as estimates of chemotherapy effect and RNA expression signatures of immune response. As a first step, you will have to adapt publicly available scripts for phylogenetic analysis and evaluation of selection to childhood cancer mutational signatures dominated by large-scale chromosomal alterations.
Qualification:
We are looking for someone with a PhD within medicine, science or a technical subject. The PhD must have been completed within the last three years, with time deductions according to the Swedish Research Council ́s regulations. You also need basic knowledge in computer programming with at least one programming language used for biomedical applications to be consider for this position.
If you have knowledge and/or educations within bioinformatics, programming, cancer research, population genetics, cancer genetics and/or mathematical biology, this will be considered meritorious. Do you also have previous knowledge about the management of large-scale genetic data and experience of computer simulations of biological systems that will also be advantageous.
You as a person needs to be able to work with others in a group with the aim of reaching the answer to a research question. We consider it important that you can both provide constructive feedback to others and act constructively on feedback given to you. We also see you as someone that can work independently with problem solving without losing focus of the project’s aims. Great emphasis will be placed on personal suitability….
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