Bioinformatician in Clinical Genetics

Lund University was founded in 1666 and is consistently ranked as one of the world's leading academic institutions. We have approximately 46,000 students and 8,500 employees at our campuses in Lund, Helsingborg, and Malmö. We are united in our mission to understand, explain, and improve our world and people's circumstances. Workplace Description At the Department of Clinical Genetics, Institute of Laboratory Medicine, we are seeking a bioinformatician to develop classification algorithms for gene expression data in the blood cancer field. The project focuses on developing and evaluating classification algorithms based on large datasets from RNA sequencing of blood cancer cells, with the aim of improving clinical diagnostics. The research group is led by Professor Thoas Fioretos and consists of approximately ten employees with expertise in gene expression analysis, single-cell analysis, bioinformatics, and functional and mechanistic studies of blood cancer. The group is international, works interdisciplinarily, and has established collaborations with other research groups, healthcare services, and the life science industry. We are now seeking a bioinformatician with excellent knowledge of machine learning and statistical analysis, as well as documented experience working with gene expression data in the blood cancer field. The work will be conducted both independently and in close collaboration with other team members, including bioinformaticians and doctoral students. As a workplace, we prioritize a good work environment characterized by respect, care, and an open collaborative climate. What We Offer Lund University is a state authority, which means you will receive special benefits, generous vacation, and advantageous pension contributions. We also have a flexible working hours agreement that creates good conditions for balancing work and leisure. Read more on the university website about working at Lund University, "Working with us." Duties and Responsibilities You will join a team of bioinformaticians and doctoral students developing methods to improve clinical diagnostics of blood cancer through analysis of gene expression data. Your responsibilities will include developing bioinformatic analysis tools, applying and further developing machine learning-based classification algorithms, and evaluating whether neural networks can improve classification. Since the research is data-driven, the work may also include development and application of other bioinformatic, mathematical, and statistical methods. Qualifications Requirements for employment: Doctoral degree in bioinformatics, computer science, physics, mathematics, or other relevant technical or natural science field Excellent knowledge and documented experience in programming, data analysis, statistical modeling, and machine learning Documented experience developing and evaluating machine learning models based on gene expression data or other high-dimensional biological data in the blood cancer field Excellent ability and documented experience working independently and in interdisciplinary teams with multiple collaborators Excellent ability to communicate in Swedish and English, both orally and in writing Desirable qualifications for employment: Experience with Python-based machine learning tools and methods for model optimization, validation, and explainable machine learning Experience developing or evaluating neural networks for classification of biological or clinical data Experience working in teams within a larger interdisciplinary research group, as well as authoring scientific texts and presenting scientific results. Other Information The position is a special fixed-term employment (SÄVA) on a part-time basis (50%) for 12 months with a desired start date of September 1, 2026, or by agreement. How to Apply The position is filled through the university's recruitment system. Your application should include a personal letter explaining your interest in the position and how it matches your qualifications. The application should also include a CV, diploma or equivalent, and any other materials you wish to provide (copies of transcripts, references, recommendation letters, etc.) The university applies individual salary setting. Please indicate your salary expectations in your application. The Faculty of Medicine is an area of activity within Lund University, responsible for education and research in medicine, healthcare, and health. Education takes place in close collaboration with healthcare services and is well-grounded in the faculty's strong research tradition. The faculty's research spans a broad field encompassing experimental basic research, patient-centered clinical research, and health science research. The Faculty of Medicine, with over 1,800 employees and 3,000 students in Lund, Malmö, and Helsingborg, is a knowledge-intensive meeting place for students, teachers, and researchers from around the world. The Institute of Laboratory Medicine (ILM) is one of six institutes within the Faculty of Medicine. We conduct leading research in the laboratory medicine field with a focus on how diseases develop and how we can improve patient diagnostics and treatment. Some of our strongest research areas with world-class research involve cancer, genetics, and blood research. We decline all contact from advertising sales, recruitment, and staffing companies due to government procurement regulations.

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