Computational Scientist/Statistician at Vickovic Lab

The Department of Immunology, Genetics and Pathology at Uppsala University has a broad research profile with strong research groups focused on cancer, genetic and autoimmune diseases. One of the core ideas at the department is to stimulate translational research and thus promote closer collaboration between medical research and healthcare. Research is conducted within six research programs: cancer precision medicine, cancer immunotherapy, genomics and neurobiology, molecular tools and functional genomics, neuro-oncology and neurodegeneration, and vascular biology. Parts of the activities are also integrated with the departments of oncology, clinical genetics, clinical immunology, clinical pathology, and hospital physics at Uppsala University Hospital. The department has teaching assignments in a number of program educations, independent courses, and international master's programs within the medical faculty. The department has a turnover of approximately 550 million SEK, of which about two-thirds are external research grants. The number of employees is about 400, of which about 100 are doctoral students, and there are a total of over 850 active in the workforce. Please read more about the department's activities here: http://www.uu.se/medarbetare/institution/immunologi-genetik-och-patologi (http://www.uu.se/medarbetare/institution/immunologi-genetik-och-patologi)

Job Responsibilities

• Develop new computational, machine learning, and statistical analysis methods to integrate and analyze large-scale, single-cell and spatially resolved RNA-seq and genotypic data using current state-of-the-art technologies.
• Develop data analysis strategies, write algorithms, and distribute computational tools for exploring very large datasets. Develop a resource for the community that provides access to collected data.
• Work closely with experimental colleagues and cores to understand the nature of generated data.
• Actively participate in the preparation of manuscripts for publication and present at scientific conferences.
• Assist with peer and student mentoring.
• Share expertise and provide training and guidance to group members as needed.

Qualifications

• At least a Master's degree in applied mathematics, computer science, or a related discipline is required; PhD preferred.
• Previous experience with foundation models, network inference, VAE, and DNA sequence analysis is preferred, but exceptionally creative and driven scientists with interest and adaptability are required.
• Strong oral and written communication, data documentation, and presentation skills are required.
• Experience writing scientific articles for publication is required.
• Ability to manage multiple projects simultaneously is required.
• Excellent collaboration and interpersonal skills, as well as a willingness to work in a fast-paced team environment are required.

About the Employment

The position is temporary, 12 months. The scope is full-time. Start date by agreement. Location: Uppsala

Inquiries about the position can be made to: Sanja Vickovic, [email protected] (mailto:[email protected])

Welcome with your application by January 12, 2026, UFV-PA 2025/3349

Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of the most exciting workplaces in the country.

Read more about our benefits and what it's like to work at Uppsala University https://uu.se/om-uu/jobba-hos-oss/ (https://uu.se/om-uu/jobba-hos-oss/)

The employment may be subject to security clearance. A prerequisite for employment during security clearance is that the applicant is approved.

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Applications are received in Uppsala University's recruitment system.

Union representatives: Saco-S - [email protected] (mailto:[email protected]), Seko - [email protected] (mailto:[email protected]), ST (OFR/S) - [email protected] (mailto:[email protected])