Scientific Assistant (Data Science)

Science Professor (Tenured Professor) Group in Data Science, Institute of Microbiology and Virology

Our interdisciplinary research group focuses on developing and applying advanced image processing and artificial intelligence (AI) tools to solve challenges in healthcare and biotechnology. Our work spans from AI-assisted drug discovery to the analysis of biological and medical images for diagnostic and therapeutic applications.

Work Location: Riga, Rātsupītes street 5, Latvia
Employment Type:  Full-time
Employment contract: Temporary, 2 year with the possibility of extension based on availability and performance

Job Description:

We are seeking a highly motivated and skilled Scientific Assistant to contribute to a project at the intersection of biotechnology, drug development, and computational analysis. 
Candidate will be involved in:

• Collaborating with computer scientists and engineers to develop AI-based models for biological and medical image analysis
• Processing, interpreting, and presenting experimental data (using tools such as SPSS, and Python Pandas)
• Contributing to scientific publications and reports
• Preparing biological samples and acquiring microscopic or other bio-analytical image data
• Designing and conducting laboratory experiments in biotechnology, potentially involving cell culture, biomaterial characterization, or assay development

Required Qualifications:

• A Master’s degree (or equivalent) in Chemical Engineering, Biotechnology, Biomedical Engineering, or a closely related field

• Demonstrated hands-on experience with standard laboratory techniques and instrumentation (Spectroscopic analysis)

• Strong analytical and problem-solving skills

• Proficiency in English (both written and spoken)

• Ability to work effectively both independently and as part of an interdisciplinary team

Preferred Qualifications (Assets):

• Familiarity with image analysis software (e.g., ImageJ, MATLAB) and/or an interest in learning computational data analysis methods

• Experience with quality control procedures in a pharmaceutical or biotech R&D setting

• A proven record of scientific creativity, such as patents, publications, or conference presentations

• Demonstrated ability to collaborate on projects involving AI or computational tools

We Offer:

• An opportunity to work on cutting-edge, interdisciplinary research projects

• Integration into an international and collaborative scientific team

• A contract for a fixed term with the possibility of extension (2 years)

• PhD Engagement

Application Process:

Interested candidates should submit the following documents as a single PDF file to cvrsu[pnkts]lv

• A motivation letter

• A detailed Curriculum Vitae (CV) including a list of any publications, patents, or projects

• Contact information for at least two professional references

For informal inquiries about the position, please contact Prof. Azimi at mohammadreza[pnkts]azimirsu[pnkts]lv
 

*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.