Postdoc in Computational Biology/Bioinformatics at BRIC

Faculty of Health and Medical Sciences
University of Copenhagen

We are looking for a highly motivated and dynamic computational postdoc to join the group of Prof. Ana Cvejic from the 1st of September 2026 or soon thereafter.

Information on the department can be found at: BRIC – University of Copenhagen (ku.dk)

Our research

The aim of our group is to decipher how differentiation pathways of haematopoietic cells are influenced by different microenvironments. To achieve that, we use state-of-the-art single-cell RNA-seq, multiome, and spatial transcriptomics data generation combined with computational analysis to establish principles of blood lineage differentiation. We are a team of highly collaborative researchers performing exciting interdisciplinary science using cutting-edge technologies.

Your job

In this project, you will analyse newly generated scRNA-Seq and 10X multiome data sets to reveal the molecular programmes that are active in human blood cells. You will employ cutting-edge single-cell computational approaches to chart and understand the gene regulatory networks that are active in blood cells in health and disease.

The successful candidates will have a PhD in Bioinformatics, Computational Biology, Biostatistics or in a related quantitative field (e.g., Statistics, Mathematics, Physics). You will be passionate about science, hardworking, and excited to learn and improve skills in an outstanding research environment. You will be part of a multidisciplinary team and will be tasked with proactively seeking and maintaining appropriate collaborations. Your task would be to drive forward the project, working closely with biologists, clinicians and bioinformaticians within and outside the group to accomplish scientific objectives.

Profile
We are looking for a highly motivated and enthusiastic scientist with the following competencies and experience:

Essential experience and skills:

• You have a PhD in Bioinformatics, Computational Biology, Biostatistics or in a related quantitative field (e.g., Statistics, Mathematics, Physics) and a passion for problem solving
• You are highly experienced in a research environment with a well-established publication track record
• You have formal training in mathematical, statistical, and machine-learning-based analysis of complex data sets, such as hypothesis testing, supervised/unsupervised learning, linear models, etc.
• Experience with atlas-scale single-cell data analysis, such as cell type annotation, differential abundance/accessibility/expression testing, trajectory inference, etc.
• An understanding, experience, and published outcomes from analysing and interpreting large datasets using statistical programming languages (e.g. R, Python etc.)
• Proven independent working style, technical problem solving, data analysis and generation of novel ideas
• Proficient communication skills and ability to work in a team
• Comfortable generating and documenting reproducible analyses and workflows
• Excellent English skills written and spoken

Desirable experience and skills:

• Training in statistical methods appropriate for single-cell biological research, e.g., sparse data analysis, generative models, batch correction and multi-sample/-modal data integration, etc.
• Experience extending and fine-tuning DNN models for novel tasks
• Experience with a workflow management system, e.g., Snakemake, nextflow
• Experience in statistical genomics approaches and in method development
• Experience in analysing CITE-seq datasets

Place of employment

The place of employment is at the BRIC, University of Copenhagen. We offer creative and stimulating working conditions in a dynamic and international research environment. Our research facilities include modern laboratories and core facilities Core Facilities – University of Copenhagen (ku.dk).

Terms of employment

The average weekly working hours are 37 hours per week.

The positions are fixed-term limited until December 31st, 2028, with the possibility of further extensions. The starting date is the 1st of September 2026 or soon thereafter.

Employment will be in accordance with the provisions of the collective agreement between the Danish Ministry of Finance and AC (the Danish Confederation of Professional Associations). The monthly salary will be based on the number of years of work experience (seniority) with the possibility to negotiate a salary supplement based on prior experiences and qualifications. The employer will pay an additional 18,07 % to your pension fund.

Questions

For further information please contact Laboratory Coordinator Ulf Tiemann by email: [xxxxx]

[xxxxx]

Application

Your application should in English include:

• Cover letter addressing the requirements (max. one page)
• Curriculum Vitae
• A certified/signed copy of certificate(s) of education

Please submit your application by clicking on “Apply Now” below. Only online applications submitted through the University of Copenhagen platform will be accepted.

Application deadline: June 3rd 2026, 23.59 CET

We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements.

Interviews are expected to be held in the end of June.

The University of Copenhagen wishes to reflect the diversity of society and encourage all qualified candidates to apply regardless of personal background.

Kilde: [xxxxx]