Bioinformatician in Clinical Genetics

Lund University was founded in 1666 and is repeatedly ranked among the worlds top universities. The University has around 46 000 students and 8 500 staff based in Lund Helsingborg and Malmö. We are united in our efforts to understand explain and improve our world and the human condition.

Description of the workplace

At the Division of Clinical Genetics Department of Laboratory Medicine we are seeking a bioinformatician to work on developing classification algorithms for gene expression data in the field of hematological malignancies. 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 hematological malignancies. The group is international works in an interdisciplinary manner and has established collaborations with other research groups healthcare providers and the life sciences industry.

We are now seeking a bioinformatician with very strong knowledge of machine learning and statistical analysis as well as documented experience working with gene expression data in the field of hematological malignancies. The work is carried out both independently and in close collaboration with the other members of the group including bioinformaticians and PhD students.

As a workplace we value a positive working environment characterized by respect consideration and an open collaborative atmosphere.

We offer

Lund University is a government authority which means that you will receive special benefits generous annual leave and an advantageous occupational pension. We also have a flexible working hours agreement that provides good opportunities for work-life balance.

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Duties and responsibilities

You will be part of a team of bioinformaticians and PhD students developing methods to improve the clinical diagnosis of hematological malignancies through the analysis of gene expression data. Your duties will include developing bioinformatics analysis tools applying and further developing machine learning-based classification algorithms and evaluating whether neural networks can improve classification performance. As the research is data-driven the work may also involve the development and application of other bioinformatics mathematical and statistical methods.

Qualifications

Requirements for the position are:

• PhD degree in bioinformatics computer science physics mathematics or another relevant technical or scientific field
• Very strong knowledge and documented experience in programming data analysis statistical modelling and machine learning
• Documented experience developing and evaluating machine learning models based on gene expression data or other high-dimensional biological data within the field of hematological malignancies
• Excellent ability and documented experience working independently as well as in interdisciplinary teams involving multiple collaborators
• Excellent ability to communicate in Swedish and English both verbally and in writing

Additional qualifications are:

• Experience with Python-based machine learning tools and methods for model optimisation validation and explainable machine learning
• Experience developing or evaluating neural networks for the classification of biological or clinical data
• Experience working in a larger interdisciplinary research group and experience writing scientific texts and presenting scientific results

Additional information

The position is a fixed-term special employment (SÄVA) at 50% of full-time for 12 months with a desired start date of September 1 2026 or as agreed.

How to apply

Applications must be submitted through the Universitys recruitment system. The application should include a cover letter explaining why you are interested in the position and how it matches your qualifications. The application should also include a CV degree certificate or equivalent and any other documents you wish to submit (copies of transcripts reference details letters of recommendation etc.).

The University applies individual salary setting. You are welcome to state your salary expectations in your application.

The Faculty of Medicine is a part of Lund University and is responsible for education and research within medicine and healthcare. Our academic programs are closely linked with the healthcare system and are firmly anchored in the facultys strong research tradition. Our research spans a broad field within experimental preclinical research near-patient clinical research and health sciences research. The Faculty of Medicine with its 1800 employees and 2700 students in Lund and Malmö is a knowledge-intensive meeting place for students teachers and researchers from all over the world.

The Department of Laboratory Medicine is one of six departments at Lund Universitys Faculty of Medicine. We conduct leading research both broad and specialised within the field of laboratory medicine focusing on the onset of disease and how we can improve diagnostics and treatment for patients. Some of our strongest areas with world-class research deal with cancer genetics and blood.

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