Researcher in Computational Biology
Kyiv School of Economics | Kyiv (Remote possible)
Classification: Computational Biology
The Kyiv School of Economics (KSE) is more than just an educational institution. We are a modern educational and research hub that brings together talented educators, experts, and thought leaders to foster a strong and innovative Ukrainian economy. We are seeking a creative and collaborative Researcher in Computational Biology to join the Laboratory for Mechanistic Learning of Ageing Biology at the Computer Science Department at KSE. We aim to improve our understanding of ageing biology by focusing on two complementary approaches: model building and data analysis. As a computational biologist, the researcher is expected to focus primarily on the former axis while collaborating with the entire team. Specific projects will be defined together based on the researcher's aspirations and the lab philosophy. Key missions and responsibilities include: - Design mechanistic models of multi-omics cellular dynamics rooted in first principles from, e.g., statistical physics, stochastic processes, or chemical reaction network theory. - Translate these models into scalable computational frameworks. - Support the data analysis team in applying in-house and public models to ageing and disease data. - Support PhD and Master students in the lab. Publish research outcomes in high-impact journals and present at leading conferences. - The position is flexible but requires a minimum of 6 months per year of in-person presence in Kyiv to engage with the lab. We will assist with accommodation search and local logistics during this period. Requirements for the position: - PhD in Computational Biology, Computer Science, Applied Physics/Mathematics, or a closely related field. - Strong expertise in quantitative life science and mathematical modeling. - Proficiency in programming languages (preferably R and/or Python) and package development process - Demonstrated ability to perform independent research and publish in peer-reviewed journals. - Fluent in English, with excellent written and verbal communication skills. Advantages for the position: - Experience in working with multi-omics data. - Experience in machine learning and hybrid modeling. -Experience in ageing and/or disease biology. What we offer: - A research role in one of Ukraine’s most dynamic Computer Science departments and research hubs. - Flexibility between working on existing projects and developing independent research. - Competitive salary, paid vacation, and sick leave. - Hybrid work format and flexible schedule: choose your start time. - Health insurance and access to corporate psychological support services. - Modern office with a storage facility, just a 5-minute walk from the metro. - Mental health support: corporate psychologist, paid sick leave, and rest days. - Corporate events and community activities: networking, events, and internal initiatives. Application Procedure: To apply, please submit the following documents before November 14, 2025: - Curriculum Vitae (CV) including a full list of publications. - Cover Letter highlighting your motivation, research experience, and qualifications for the role. - Contact information of two references. Shortlisted candidates may be invited for an interview and to give a research talk.
Last updated: 17 September 2025