Leading Researcher

The Computational Systems Biology team at RSU Bioinformatics group invites a talented and motivated Leading Researcher  to join the team of the European Partnership of Personalised Medicine (EP PerMed) funded scientific project NALUNG at Rīga Stradiņš University.

“The NALUNG (Multi-Omics Analysis for Predicting Response and Adverse Events to Neoadjuvant (NA) Treatment in Re-sectable Non-Small Cell Lung Cancer (NSCLC) will be carried out by a consortium with six partners from Turkey, Germany, Greece, Spain and Latvia. The project aims to identify tumour and blood-based biomarkers linked to immune/cellular response and adverse events using an integrated multi-omics approach that combines genomics, epigenomics, transcriptomics, proteomics, and metabolomics data. Alongside molecular profiling, we will incorporate clinical, lifestyle, and nutritional factors to build predictive models through advanced bioinformatics and machine learning. By identifying molecular signatures that distinguish responders from non-responders, and those prone to toxicity, we aim to create a predictive framework to personalise NA therapy on Non-Small Cell Lung Cancer.”

Work Location: Riga, Latvia (partly-remote option possible)

Working Time: 30-40 hours per week

Employment contract: Fixed-term employment contract for three years 

What we expect

• A doctoral degree (PhD) in science, preferably in systems biology, bioinformatics, (bio)-statistics, (computational) biology, computer science, engineering, mathematics or another equivalent field
• At least three years of scientific or academic work experience
• At least three publications indexed in SCOPUS and Web of Science databases
• Experience in omics data integration in genome-scale metabolic models
• Computer programming skills.

We will appreciate

• Mathematical modelling skills with programs such as COBRA or CNApy
• Experience in artificial intelligence and machine learning applications
• Excellent command of written and spoken English
• Independent work ethic and the ability to collaborate effectively in a team
• Initiative and strong organisational skills.

Everyday work

• Perform Genome-scale metabolic modelling
• Integrate omics data
• Apply artificial intelligence and machine learning approaches
• Participate in project progress discussions
• Prepare scientific project applications and publications

How to apply

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