Data Scientist or Biomolecular Scientist for Data and AI-Driven Molecular Medicine research program

Tiivistelmä työpaikkailmoituksesta: The University of Helsinki’s FIMM (Professor Olli Kallioniemi) is hiring a Data Scientist or Biomolecular Scientist in Helsinki for the Data- and AI-Driven Molecular Medicine (DAIMM) project. Applicants should have an MSc, MSc(Eng) or PhD in a relevant field and either strong life‑science computational experience or strong programming and data‑engineering skills. The role involves developing AI‑driven computational methods and generative AI/AI agent approaches, building data infrastructure and pipelines, and collaborating with biological and clinical researchers. The salary will be based on the Finnish universities’ salary system, the position is initially fixed until the end of 2028 with a six‑month trial period, and applications are open until 30 November 2026. Tämä tiivistelmä on luotu tekoälyn avulla. Professor Olli Kallioniemi’s lab at the University of Helsinki is currently seeking a Data Scientist or Biomolecular Scientist for Data and AI-Driven Molecular Medicine research program Location: Helsinki, Finland Unit: Helsinki Institute of Life Science Sub-unit: Institute for Molecular Medicine Finland (FIMM) Research group: Precision Systems Medicine, Professor Olli Kallioniemi Are you interested about exploring the possibilities of generative AI and AI agents in biomedical research? Do you enjoy exploring complex biological data, developing new computational approaches, or building software and data systems that enable scientific discovery? We are looking for a Data Scientist or Biomolecular Scientist to join the interdisciplinary research environment led by Professor Olli Kallioniemi at FIMM, University of Helsinki. The position is funded through a Data- and AI-Driven Molecular Medicine (DAIMM) project grant. Our research focuses on developing new ways of using generative AI, AI agents and data-driven approaches to explore biology. Cancer and precision medicine, including prostate cancer, are important application areas, while the methods and technologies developed are intended to be broadly applicable across biomedical research. We welcome applicants with an MSc, MSc (Eng) or PhD in biology, molecular medicine, bioinformatics, computational biology, computer science, data science, software engineering or a related field. For candidates with a life science background , we are looking for a strong understanding of biology, molecular medicine or a related biomedical discipline, combined with significant experience in computational analysis of biological or biomedical data. Programming skills, for example in Python or R, are an advantage but are not required. Previous experience with single-cell or spatial omics data analysis, multi-omics data integration, genomics, cancer biology, precision medicine, machine learning or generative AI is an advantage. For candidates with a data science or computer science background , we are looking for strong programming skills, particularly in Python or related languages. Experience with data engineering, databases, data pipelines and integrating heterogeneous datasets is expected. Experience with biological or health-related data is an advantage. All applicants should have an interest in generative AI, AI agents and emerging AI technologies, as well as excellent communication skills in English. We do not expect candidates to have expertise in all areas. Scientific curiosity, computational ability and enthusiasm for developing new AI-driven approaches to biomedical research are particularly important. Key responsibilities Depending on the candidate's background, responsibilities may include: • Develop and apply AI-driven and computational approaches for analyzing large-scale biological, molecular and clinical datasets. • Explore the use of generative AI, large language models, and AI agents. • Develop data infrastructure, databases, software tools, APIs, and computational pipelines. • Collaborate with biological, computational, and clinical researchers to connect computational approaches and findings with experimental and medical research. What we offer • An opportunity to work at the interface of artificial intelligence, biological discovery and precision medicine. • A collaborative and supportive interdisciplinary research environment bringing together expertise in biology, medicine, computational research and data science. • The opportunity to explore and develop emerging AI technologies, including generative AI and AI agents, for scientific discovery. • A chance to contribute to the development of new computational tools, workflows and AI-enabled research environments in life science. • An international research environment at FIMM and the University of Helsinki, with opportunities for scientific collaboration and professional development. The salary will be based on the salary system of the the Finnish universities. The position will initially be filled until the end of 2028. A six-month trial period will be applied. To apply, p