Postdoc in AI for Cancer Genomics at the Supek Group, BRIC

at  KU SCIENCE BIO BRIC

UNIVERSITY OF COPENHAGEN

We are looking for a highly motivated and dynamic postdoc for a 3-year position, to commence 1 February 2025, or soon thereafter (flexible start date).
The postdoc will be linked to the Danish Cancer Society project “AI-DRIVERS” awarded to Prof. Fran Supek to study cancer driver mutations in non-coding DNA, by developing and applying AI tools for decoding tumor genome evolution.

OUR GROUP AND RESEARCH

The Supek group is an interdisciplinary team, working at the intersection of genomics, molecular biology, and artificial intelligence. The lab performs statistical analysis of large-scale datasets (cancer genomics, population genomics) using cutting-edge techniques including artificial intelligence (e.g. DNA and protein language models). We further generate our own genomics data by DNA/RNA sequencing (particularly by Oxford Nanopore), and gene editing to generate models of cancer evolution (e.g. CRISPR/Cas12a system for combinatorial gene disruption).
In our research, we focus in frontier research projects e.g. recently finished ERC project “HYPER-INSIGHT”, and ongoing ERC “ STRUCTOMATIC: Mutational processes and impact of structural variants in somatic cells ”. Furthermore, we are embedded in a broad network of international collaborators (see e.g. EU Horizon consortia “DECIDER” and “LUCIA”, where we study ovarian cancer and lung cancer genomics, respectively).
The Supek group fosters a dynamic and inclusive atmosphere, where excitement about science is valued. We are highly committed to mentoring and career development of PhD students, postdoctoral fellows, and other team members. We are looking for enthusiastic, driven lab members to join us in our mission in pushing the boundaries of human knowledge, and fighting cancer with genomics.
The lab is at the Biotech Research & Innovation Centre, a flagship Danish biomedical research institute, and a part of the University of Copenhagen, the top-3 ranked university in continental Europe in the latest Shanghai Rankings. More information about the group is given on the lab website https://www.genomedatalab.org/

PROFILE

We are looking for a highly motivated and enthusiastic scientist with the following competencies and experience:

Essential experience and skills:

• You have a PhD in genomics/epigenomics/transcriptomics, evolutionary biology, (bio)statistics or machine learning, or related fields.
• You are experienced in computational biology tools/databases, in statistical data analysis and visualization, and in writing code in at least one programming language.
• You have an active interest in understanding the biology of mutations and their role in genetic disease, and in learning new bioinformatics and artificial intelligence approaches.
• Solid level of written and spoken English
• At least one first-author publication or preprint from your PhD and/or MSc work.

Desirable experience and skills:

• Experience with bioinformatics methods and tools for (a) genetic variant calling; and/or (b) mutational signature analysis; and/or (c) evolutionary modelling (tests for selection); and/or (d) long read sequencing analysis; and/or (e) neural networks.
• Background knowledge in fields related to biomedical genomics or DNA replication/repair or genome evolution or applied AI to omics data.
• Proficiency in R or Python, and genomics and machine learning libraries therein.
• Keen interest in programming, algorithm development, mathematics, complexity, and puzzles.
• Two or more first-author publications and/or preprints from your PhD and/or MSc work.

Please refer the Job description for details