Job:PostDoc in Computational Genomics (St.Petersburg, Russia)
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4.7 years ago
cgb@spbu ▴ 70

Applications are invited for a Postdoctoral Research Scientist in Computational Genomics to join Centre for Genome Bioinformatics at Saint Petersburg State University, Russia.

The purpose of this role is to contribute to develop strategies for genomics data analytics focusing on problems relating to genome stability maintenance. The post entails development of analytical approaches and application of existing computational methods to analyse large omics datasets to generate new insights into population genetics, cancer genomics and evolution, genome integrity.

You will work in a team-oriented environment applying your knowledge of applied mathematics, computational biology and programming skills to create novel methods and testable scientific hypotheses. You will also be responsible for maintaining an ambitious and innovative research program pursuing new funding opportunities and contributing to existing projects.

The position requires outstanding quantitative and analytical skills. We are looking for candidates with PhD level education in applied mathematics, computer science, bioinformatics/computational biology, cancer systems biology, molecular/cell biology and neighbouring disciplines.

Strong programming skills in at least one programming language such as R, Perl, Python, C, or C++, as well as experience in high-throughput scientific computing and Unix/Linux environments is required. The position requires the ability to independently take responsibility over your project, strong teamwork and communication skills, reliability, attention to details and effective time management.

We offer competitive salary and a budget for conference travel.

We are a multinational research group and our official communication language is English.

Applications should include a CV, cover letter, certificates, list of publications and other scientific outputs (e.g. software) and addresses of two referees.

Please send your application and/or questions regarding the post to:

R machine-learning genomics • 1.1k views

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