Vakances

The systems biology team of RSU Bioinformatics group invites talented and motivated  researcher (master degree or doctoral student) to work in scientific projects at Rīga Stradiņš University, implementing bioinformatics and systems biology approaches in data processing, integration and mechanistic modeling of processes. The topics of the projects are mainly related to medical issues.

Work Location: Riga, Latvia (remote option possible)

Working Time: 15-40 hours per week

Employment contract: initially for 3 months, with an option to extend

What we expect

• The candidate must have knowledge and skills in one of the fields - biology, medicine, computer science or engineering
• Willingness to work in science and learn new skills in an interdisciplinary team
• Programming skills

We will appreciate

• Computer programming skills (eg Matlab, R and Python/Perl/Julia or Java)
• Data analysis and mathematical modeling skills with programs similar to COPASI, COBRA, CNApy
• Basic knowledge in molecular biology and "omics" technologies is desirable
• Excellent knowledge of written and spoken English

Everyday work

• Implementation of the systems biology approach by creating mathematical models based on the available information, the operation of which is compared with the experimental results
• Personalization of therapies
• Mathematical modeling and optimization of cellular processes
• Participation in scientific discussions of project consortia and RSU Bioinformatics group
• Preparation of scientific publications

How to apply

Please, submit the following documents (combined into one pdf document) to cvrsu[pnkts]lv. and egils[pnkts]stalidzansrsu[pnkts]lv:

• CV (detailed)
• 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.

The systems biology team of RSU Bioinformatics group is currently looking for a talented and motivated senior researcher (scientist with a doctoral degree) to work in scientific projects at Rīga Stradiņš University, implementing bioinformatics and systems biology approaches in data processing, integration and mechanistic modeling of processes. The topics of the projects are mainly related to medical issues.

Work Location: Riga, Latvia (remote option possible)

Working Time: 15-40 hours per week

What we expect

• The candidate must have obtained a doctoral degree in systems biology, bioinformatics, (bio)-statistics, (computational) biology, computer science, engineering, mathematics or another equivalent field
• Computer programming skills are required

We will appreciate

• Computer programming skills (eg R, Matlab, Python/Perl/Julia or Java)
• Experience with Linux OS, high performance computing (HPC), cloud server platforms (AWS, DNAnexus)
• Data analysis and mathematical modeling skills
• Mathematical modeling skills with programs similar to COPASI, COBRA, CNApy
• Basic knowledge in molecular biology and "omics" technologies is desirable
• A good list of completed courses, previous research results and publications, as shown in the CV
• Excellent knowledge of written and spoken English
• Independent work skills and the ability to fit into the team
• Ability to take initiative and demonstrate strong organizational skills

Everyday work

• Bioinformatics data analysis and integration of various omics data (especially transcriptome/RNA-seq, proteomics and metabolomics) into mathematical models of metabolism, signaling and other processes of various scales using systems biology approach;
• Mathematical modeling and optimization of cellular processes;
• Involvement in creating and maintaining data processing infrastructure;
• Participation in scientific discussions of project consortia and RSU Bioinformatics group;
• Preparation of scientific project applications and publications.

How to apply

Please, submit the following documents (combined into one pdf document) to cvrsu[pnkts]lv. and egils[pnkts]stalidzansrsu[pnkts]lv:

• CV (detailed)
• 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.

RSU is currently seeking a talented and motivated PostDoc / Visiting Lead Researcher to join the Bioinformatics Group starting from 01.06.2024.

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.