Johan Hartman

Karolinska Institutet is advertising a postdoctoral position in bioinformatics and translational breast cancer research within the Department of Oncology-Pathology in Solna, Sweden. The research is led by Professor Johan Hartman and is embedded in a highly collaborative environment involving clinicians, bioinformaticians, data scientists, and biologists, with close links to Karolinska Institutet, KTH, and SciLifeLab. The project focuses on clinically relevant and translational studies in breast cancer, especially precision medicine and diagnostics. The group works to improve prediction of individual treatment response, understand tumor heterogeneity and interactions between cancer cells and the tumor microenvironment, and identify biomarkers with future diagnostic and therapeutic potential. The successful candidate will have access to unique patient databases and will be expected to contribute to research at a high international level. The postdoctoral researcher will primarily analyze genomic, transcriptomic, and DNA methylation data. Tasks include identifying somatic mutations and copy number alterations, performing gene expression, signature, and pathway analyses, and integrating multi-omics data using machine learning approaches. The role also includes development and maintenance of computational pipelines for genomic and transcriptomic analysis, including datasets from single-cell and spatial omics technologies. There may also be opportunities to analyze large-scale clinical and population-based registry data and apply biostatistical methods to clinically relevant questions. Applicants must hold a PhD or equivalent degree in a quantitative field such as bioinformatics, computational biology, molecular biology, or computer science. Strong programming skills in R or Python and experience with Linux are required, along with a publication record showing experience in sequencing-data analysis. Excellent English communication skills and the ability to organize and document research data are also required. Experience with spatial transcriptomics, single-cell sequencing, multi-omics integration, computational pathology, AI tools, biostatistics, clinical cohort analysis, oncology, and cancer-related data resources such as TCGA, COSMIC, and dbSNP are considered meritorious. The position is based at BioClinicum in Solna and is a fixed-term appointment for two years with possible extension. The application should include proof of doctoral degree, a full CV, a complete list of publications, and a one-page summary of current work. Applications are submitted via the Varbi recruitment system. The deadline is 22 September 2026.

Karolinska Institutet is advertising a postdoctoral researcher in bioinformatics and translational breast cancer within the Oncology-Pathology department in Solna, Sweden. The project is led by the research group of Professor Johan Hartman and focuses on clinical and translational breast cancer research with an emphasis on precision cancer medicine, diagnostics, tumor heterogeneity, and tumor-stromal interactions. The successful candidate will join a multidisciplinary environment of clinicians, bioinformaticians, computer scientists, and biologists, and will work with unique patient datasets to address important questions in breast cancer progression and treatment response. The research environment uses AI-assisted clinical and molecular pathology, genetic analysis, and population registry-based statistics, with strong collaboration across Karolinska Institutet, KTH, and the Science for Life Laboratory. The main research tasks involve analysis of genomic, transcriptomic, and DNA methylation data, including somatic mutation and copy-number alteration calling, gene expression analysis, signature and pathway analysis, and multi-omics integration using machine-learning methods. The postdoc will also help develop and maintain computational pipelines for genomic and transcriptomic analysis, including datasets from single-cell and spatial omics technologies. There is also scope to contribute to large-scale clinical and registry-based analyses using biostatistical methods. The role is suited to a highly motivated researcher with a strong bioinformatics background and a clear interest in data-driven biomedical research at the intersection of cancer biology, genomics, and computational science. Essential qualifications include a PhD in bioinformatics, computational biology, molecular biology, computer science, or a related quantitative field; strong skills in R/Python and Linux; prior sequencing-data analysis experience supported by publications; basic knowledge of molecular biology and/or cancer; and excellent English communication and documentation skills. Desirable experience includes biostatistics, clinical cohort analyses, oncology research, AI tools, spatial transcriptomics, single-cell sequencing, multi-omics integration, and use of resources such as TCGA, COSMIC, and dbSNP. The position is a full-time temporary appointment for two years with the possibility of extension. The application must be submitted through the Varbi recruitment system and include a PhD certificate, a full CV, a publication list, and a one-page summary of current work. The deadline is 2026-09-22 .