Bioinformatician in Breast and Lung Cancer Full-time

Bioinformatician in Breast and Lung Cancer

Lund University was founded in 1666 and is repeatedly ranked among the world's 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.

The Breast and Lung Cancer research group at the Department of Laboratory Medicine, within the Faculty of Medicine, conducts translational genomic research in breast and lung cancer and is currently at the forefront of its field. The group is actively engaged in, among other things, characterizing genomic alterations in breast cancer based on large-scale tumor sequencing data. The group is led by Senior Lecturer Johan Staaf and includes an additional five members. Our research is carried out in close collaboration with other research groups as well as with clinical partners within the healthcare system. We are now seeking a driven and experienced bioinformatician in cancer genomics to support our projects. As a workplace, we value a positive working environment characterized by respect and consideration in our interactions with one another.

Lund University is a public authority, which means you will receive specific benefits, generous vacation entitlement, and a favorable occupational pension. We also have a flexitime agreement that provides good conditions for maintaining a healthy work–life balance.

As a bioinformatician with a focus on computational oncology, you will conduct genomic research in breast and lung cancer based on high-dimensional multi-omic data (DNA, RNA, epigenetic data, etc.). You will have particular responsibility for initiating, performing, and leading projects from inception through completion and publication of scientific results. In addition, you will be responsible for developing and implementing new bioinformatic analysis tools and pipelines for large-scale analysis of high-dimensional multi-omic data with a focus on breast and lung cancer. The position also includes participation in the supervision of undergraduate students and doctoral students, as well as contributing to the development and delivery of doctoral courses focused on bioinformatics and data visualization.

Requirements for the position:

• MSc in Bioinformatics
• PhD in Bioinformatics/Computational Oncology with a clear focus on large-scale analysis of multi-omic data in solid cancer, preferably breast and/or lung cancer, documented through scientific merits (original peer-reviewed publications)
• Completed postdoctoral training in computational oncology with a clear focus on large-scale analysis of multi-omic data in solid cancer, preferably breast and/or lung cancer, documented through scientific merits (original peer-reviewed publications)
• Documented experience in developing and/or leading teaching courses in bioinformatics/data visualization
• Documented experience in supervising undergraduate students and/or doctoral students

Meritorious for the position:

• Scientific merits, preferably within breast and lung cancer
• Experience participating in translational cancer research projects
• Experience in data curation, data management, and data sharing in accordance with the FAIR principles
• Documented ability to attract external research funding
• Completed pedagogical training or equivalent qualifications to act as co-supervisor for doctoral students
• Ability to work independently combined with strong collaboration skills
• Excellent proficiency in English, both written and spoken

The position is a permanent, full-time appointment (100%) with a start date as agreed, July 1st, 2026, at the earliest.

The position is applied for via the University's recruitment system. The application must include a cover letter describing how you meet the qualification requirements and why you are interested in the position. The application should also include a CV with a list of publications, a general description of previous research experience, copies of PhD and MSc degrees, and any other documents you wish to submit (copies of additional degree certificates, transcripts, contact details for references, letters of recommendation, etc.).