Visiting Lead Researcher

RSU is currently seeking a talented and motivated PostDoc / Visiting Lead Researcher to join the Bioinformatics Group.

Work Location: Riga, Latvia (remote option possible)

Working Time: 16-20 hours per week, with an option to increase

Employment Contract: For 24 months, with an option to extend 

Requirements for the applicant 

• Doctoral degree in Bioinformatics, (Bio)Statistics, (Computational) Biology, Computer Science, Mathematics, or another equivalent degree 
• Computer programming skills in Bash, Python/Perl/Julia or Java, and R 
• Experience with Linux OS, high-performance computing (HPC), and/or cloud platforms (AWS, DNAnexus) 
• Experience with workflow management systems (WDL, CWL, Nextflow, Snakemake) and containerization (Docker, Singularity)
• A strong affinity for DevOps engineering practices, including the creation, maintenance, automation, and optimization of interoperable tools and computational workflow
• Candidates should have a good track record of source code (e.g., on GitHub) and/or scientific publications, as outlined in their CV 
• Excellent knowledge of English 
• A team player who can also work independently, with strong analytical problem-solving skills (trial and error) and cross-industry (out-of-the-box) thinking
• Ability to take the initiative and have strong organizational skills
• Strong teaching skills to effectively educate and mentor other team members
• 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

Job Description: 

• Educate and train colleagues to perform bioinformatics analysis of multi-omics (e.g., genome, transcriptome/RNA-seq, proteome, metabolome, and/or microbiome) data and integrate it with clinical data (including medical images) using machine learning and/or network-based approaches
• Implement 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 scientific discussions within ongoing projects' consortia and the RSU Bioinformatics Group
• Prepare research proposals and scientific publications for submission

How to Apply: 
Please submit the following documents (combined into one PDF document) to cvrsu[pnkts]lv and baiba[pnkts]vilnersu[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

* When applying for the vacancy, the applicant agrees to the processing of the data indicated in his / her application (including CV), which is aimed at ensuring the RSU personnel selection process, as well as to storing the data for 4 months after the end of the competition. If the applicant does not want the data to be saved, please indicate this in the application.