Postdoctoral Research Fellow in Computational Biology 57 views


Company Description:

Queen’s has a rich academic tradition dating back to 1841. Located in Kingston, Ontario — one of Canada’s most vibrant small cities, and a short commute to Ottawa, Montreal, Toronto, and New York State — Queen’s consistently ranks among Canada’s very best universities.

The Panchenko laboratory works in close collaboration with several experimental laboratories across the world, especially with the National Institutes of Health, USA. Candidates are expected to possess excellent interpersonal skills and the ability to interact effectively with multidisciplinary research teams. The program is located in a beautiful space overlooking Lake Ontario and has access to state-of-the-art high-performance computing facilities.

Job description

Two potential postdoctoral positions are available in the Computational Biology and Biophysics Laboratory of Queen’s University, Kingston, Ontario, Canada (https://panchenko-lab.org/). The laboratory studies epigenetic mechanisms with a specific focus on cancer. The topics of interest include: binding mechanisms of partners to nucleosomes; effects of DNA methylation on nucleosome dynamics and DNA accessibility; impacts of cancer mutations on chromatin; coupling between chromatin organization and mutational processes.

Position #1. The first prospective postdoctoral fellow will design and apply methods of molecular dynamics simulations and molecular modeling to understand how chromatin dynamics is coupled with its function at the level of nucleosomes and nucleosomal arrays. Qualifications: Ph.D. in biophysics, physics, chemistry; experience with scientific high-performance computing; proficiency with at least two of the following: C/C++, Python, R, MatLab; solid knowledge of molecular dynamics simulations and molecular modeling.

Position #2. The second prospective postdoctoral fellow will design deep learning approaches to identify epigenetic processes leading to mutation occurrence and repair in cancer. Qualifications: Ph.D. in computational biology or computer science; proficiency with Python and R; solid knowledge of deep learning methods.

–Both of these positions will be financed for two or more years. Relocation expenses are covered. To apply for this position, please send a letter of application and a detailed CV–

The University invites applications from all qualified individuals. Queen’s is committed to employment equity and diversity in the workplace and welcomes applications from women, racialized/visible minorities, Indigenous peoples, persons with disabilities, and LGBTQ2S+ persons. The University will provide support in its recruitment processes to applicants with disabilities, including accommodation that takes an applicant’s accessibility needs into account. Every effort to accommodate candidates will be made in a way that is equitable and respectful of their additional professional, community, and personal responsibilities.

Contact: Tiina Liinamaa, liinamaa(at)queensu.ca

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