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RSU Bioinformatics Group is always looking for talented and highly motivated Postdocs to join our team!

Candidate's profile

  • The successful candidate should possess a PhD in Bioinformatics, (Bio)Statistics, (Computational) Biology, Computer Science, Mathematics, or another equivalent degree.
  • They should have computer programming skills in Bash, Python/Perl/Julia or Java, and R.
  • Familiarity with workflow management systems (WDL, CWL, Nextflow, Snakemake) and containerization (Docker, Singularity) is expected.
  • Previous experience with Linux OS, high-performance computing (HPC), and/or cloud platforms (AWS, DNAnexus) is required.
  • A strong affinity for DevOps engineering practices, including the creation, maintenance, automation, and optimization of interoperable tools and computational workflows, is essential.
  • A basic understanding of molecular biology and omics technologies e.g., genome, transcriptome/RNA-seq, proteome, metabolome, and/or microbiome profiling, is a plus.
  • Prior experience with multi-omics (e.g., genome, transcriptome/RNA-seq proteome, metabolome, and/or microbiome) data analyses and integration with clinical data (including medical images) using machine learning and/or network-based approaches is also a plus.
  • Candidates should have a good track record of source code (e.g., on GitHub) and/or scientific publications, as outlined in their CV.
  • Excellent written and oral communication skills in English are required.
  • The ideal candidate is a team player with well-developed analytical problem-solving skills and cross-disciplinary (out-of-the-box) thinking. However, they should also be able to work independently, take initiative, and possess strong organizational skills.
  • Strong teaching skills to effectively educate and mentor other team members are also required.

Job description

  • Educate and train less experienced team members to:
    • Perform bioinformatics analysis of multi-omics (e.g., genome, transcriptome/RNA-seq, proteome, metabolome and/or microbiome) data and integration with clinical data (including medical images) using machine learning and/or network-based approaches;
    • Implement the DevOps engineering practices including the creation, maintenance, automation, and optimization of interoperable tools and computational workflows;
  • Participate in the development and maintenance of the computational infrastructure; Participate in the scientific discussions within the ongoing projects’ consortia and the RSU Bioinformatics Group;
  • Prepare research proposals and scientific publications.

How to apply

Please, submit the following documents (combined into one pdf document) to baiba[pnkts]vilneatrsu[pnkts]lv and cvatrsu[pnkts]lv:

  • Detailed CV
  • Motivation letter, which briefly outlines your past research experience and future visions
  • Copies of degree certificates
  • Name and contact details of at least two referees