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Postdoctoral Researcher to Medical Bioinformatics Centre

Karlstad University

Turku

On-site

EUR 40 000 - 60 000

Full time

14 days ago

Job summary

A leading research university in Finland is seeking a Postdoctoral Researcher for a project in artificial intelligence and bioinformatics. This role involves analyzing large datasets and developing machine learning methods for biomedical research. Ideal candidates possess a doctoral degree and experience in relevant fields. The position promotes equality and offers opportunities for professional growth.

Benefits

Comprehensive occupational healthcare
Access to cutting-edge technologies
Support for continuous professional development

Qualifications

  • Experience in analyzing proteomics or mass spectrometry data.
  • Publications or evidence of research in AI or bioinformatics.

Responsibilities

  • Analyze and model large omics datasets.
  • Develop and apply machine learning methods.

Skills

Experience in analyzing large biological datasets
Interest in high-performance computing
Ability to work independently
Excellent spoken and written English

Education

Doctoral degree in bioinformatics, computer science, or data science

Tools

Machine learning
Deep learning
Job description
Postdoctoral Researcher to Medical Bioinformatics Centre

The University of Turku offers a unique and inspiring work environment. You will work with top experts, pedagogues, and researchers and apply artificial intelligence and high-performance computing in medical research.

The Turku Bioscience Centre has an open fixed‑term postdoctoral position until 31 December 2027, with employment starting January 2026 or as agreed. The Turku Medical Bioinformatics Centre (https://elolab.utu.fi) at Turku Bioscience Centre seeks a postdoctoral researcher to join our Research Council of Finland project that develops and applies artificial intelligence and high-performance computing to analyze large‑scale omics datasets. The project aims to identify molecular factors influencing disease development and explore how this understanding can advance treatments for immune‑mediated diseases and cancer.

The research will be conducted in collaboration with the University of Turku, the Finnish IT Center for Science (CSC/ELIXIR), and biomedicine experts, providing a multidisciplinary environment with opportunities for international development in the field.

As a Postdoctoral Researcher, you will join the project focusing on AI and high‑performance computing in large‑scale omics data analysis. Your work will emphasize method development and application to biomedical research questions. Key responsibilities include:

  • analyzing and modeling large omics datasets
  • developing and applying machine learning methods to biomedical questions
  • keeping up with rapidly evolving methods in the field
  • collaborating with biomedical researchers to assess the biological and medical significance of findings
  • publishing research results in international scientific journals and presenting at conferences
  • participating in national and international collaboration networks

This position offers the opportunity to deepen expertise at the interface of artificial intelligence and bioinformatics and to work closely with leading experts across disciplines. A special focus of the project is to develop a high‑performance computing framework for mass spectrometry proteomics to enhance processing and interpretation of large datasets using deep learning and GPU computing. The framework will be tested in synthetic and real‑world experimental setups, with a focus on identifying early disease markers.

Who we are looking for

We are seeking motivated candidates at the intersection of artificial intelligence, high‑performance computing, and biomedicine.

Requirements:

  • a doctoral degree in bioinformatics, computer science, data science, or another relevant field
  • experience in analyzing large biological datasets (e.g. genomics, transcriptomics, or proteomics)
  • interest in high‑performance computing and algorithm optimization (e.g. GPU computing)
  • ability to work independently and in collaboration within a multidisciplinary research environment
  • initiative and self‑direction
  • excellent spoken and written English

Plus:

  • experience in analyzing proteomics or mass spectrometry data
  • experience in machine learning, deep learning, or method development in bioinformatics
  • publications or other evidence of research in AI or bioinformatics

We value collegiality and promote equality, diversity, and inclusivity. We encourage all qualified applicants with different backgrounds to apply for our open positions.

We provide diverse opportunities to grow as a researcher and to make an impact in your field, including:

  • top‑level research environment
  • access to cutting‑edge technologies and unique datasets
  • versatile tasks at the intersection of AI, HPC, and biomedicine
  • support for continuous professional development and excellent networking opportunities both nationally and internationally

Turku – a great place to live and work

Finland offers high quality of life, safety, and excellent public services, with strong support for families and international hires.

Health and insurance

We offer comprehensive occupational healthcare, travel and occupational accident insurance, and pension contributions managed by the University.

How to apply

Please submit your application through our online recruitment system. Applications may be processed during the application period.

Applicants should enclose with their application:

  • motivation letter (max one page)
  • CV (max two pages)
  • list of publications, if applicable
  • degree certificates / transcript of records
  • contact information of two referees
  • other documents that may influence the filling of the position

Turku Bioscience is an advanced core facility and research centre hosted jointly by the University of Turku and Åbo Akademi University. Our aim is to provide services and tools to shorten the runway from discovery to impact, staying at the frontiers of new technologies and facilitating collaboration between academia and industry.

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