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Researcher (Data Science, Health Sciences)

Updated: 16 days ago
Job Type: FullTime
Deadline: 16 Feb 2026

14 Jan 2026
Job Information
Organisation/Company

Rīga Stradiņš University
Research Field

Computer science » Modelling tools
Medical sciences » Health sciences
Technology » Medical technology
Researcher Profile

Recognised Researcher (R2)
Positions

PhD Positions
Application Deadline

16 Feb 2026 - 23:59 (Europe/Riga)
Country

Latvia
Type of Contract

Temporary
Job Status

Full-time
Hours Per Week

40
Offer Starting Date

14 Jan 2026
Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure?

Yes

Offer Description

Rīga Stradiņš University invites applications for a Researcher position at the Institute of Microbiology and Virology to join the research group of a tenured professor in data science.

About the Group

We are seeking a highly motivated Researcher in the field of artificial intelligence (AI) to join our research and innovation team. The candidate will contribute to designing, developing, and implementing advanced AI/ML solutions to support ongoing scientific, healthcare, and technological projects across the institute. This role involves working closely with interdisciplinary teams to transform data into actionable insights, novel tools, and impactful research outcomes.

Key Responsibilities

  • Develop, implement, and optimise AI/ML models (artificial intelligence/classical machine learning, deep learning, computer vision, NLP, etc.)
  • Work with structured and unstructured datasets; perform data preprocessing, analysis, and validation
  • Collaborate with clinicians, scientists, engineers, and project teams to integrate AI into research workflows
  • Lead or contribute to scientific publications, grant proposals, and conference outputs
  • Develop reproducible pipelines, documentation, and maintain code repositories
  • Support AI capacity-building activities (training sessions, internal consultations)
  • Ensure ethical, secure, and trustworthy AI practices in compliance with institutional and EU regulations

We Offer

  • Opportunity to work in a leading international research environment
  • Collaboration with multidisciplinary teams and international partners
  • Career development, training, and publication opportunities
  • Supportive and innovative working culture

 


Where to apply
E-mail

cv@rsu.lv

Requirements
Research Field
Computer science » Modelling tools
Education Level
PhD or equivalent

Skills/Qualifications
  • Doctoral or Master’s Degree in AI, Data Science, Computer Science, Biomedical Engineering, or related fields
  • Experience in machine learning/deep learning projects
  • Proven research or practical experience (publications, other academic and professional experience)

Specific Requirements
  • Proficiency in Python and major AI frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Experience with data pipelines, statistics, and model evaluation
  • Ability to work independently and collaboratively
  • Strong problem-solving and analytical skills
  • Excellent written and spoken English

Desirable 

  • Experience in healthcare, biometrics, imaging, or digital health
  • Experience with federated learning, trustworthy AI, privacy-preserving analytics
  • Experience with cloud platforms or HPC environments
  • Knowledge of regulatory and ethical considerations in AI

Languages
ENGLISH
Level
Excellent

Additional Information
Benefits

Monthly Salary (Gross): from EUR 2240 to 3000


Selection process

How to Apply

Please submit the following documents (combined into a single PDF file) by sending to cv@rsu.lv :

  • CV
  • Motivation letter explaining your past experience, suitability, and motivation
  • List of publications/portfolio (if applicable)
  • Copies of educational documents
  • Contact details of two referees

 


Website for additional job details

https://www.rsu.lv/en/node/286114

Work Location(s)
Number of offers available
1
Company/Institute
Rīga Stradiņš University, Institute of Microbiology and Virology
Country
Latvia
City
Riga
Postal Code
LV-1067
Street
Rātsupītes street 5
Geofield


Contact
City

Rīga
Website

http://www.rsu.lv/en
Street

Dzirciema street 16
Postal Code

LV-1007
E-Mail

cv@rsu.lv

STATUS: EXPIRED

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