KTH Royal Institute of Technology
Top university
Just Landed
New Today
Postdoc in multi-omics machine learning and computational cancer biology KTH Royal Institute of Technology in Sweden
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Deadline
Nov 15, 2026
Country
Sweden
University
KTH Royal Institute of Technology
Apply for this position
You'll sign in first, then continue in your ApplyKite dashboard.
Keywords
Suggested positions
About this position
Postdoc in multi-omics machine learning and computational cancer biology at KTH Royal Institute of Technology, Sweden.
This postdoctoral position is based at SciLifeLab Stockholm and KTH and sits within the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS). The lab works on cancer precision medicine with a focus on the molecular mechanisms behind cancer aggressiveness, metastasis, and treatment resistance.
The research is highly interdisciplinary and combines machine learning, deep learning, multi-omics, medical imaging, computational pathology, and foundation models. The successful candidate will help integrate biological, clinical/pathological, and imaging data to develop interpretable and biologically meaningful models for cancer research.
The position is suited to applicants with a strong computational background and a clear interest in biomedical applications, especially cancer biology. Applicants should have a doctoral degree in computer science, machine learning, computational biology, bioinformatics, or a related area by the appointment decision date. Required skills include Python and/or R, statistics, model evaluation and validation, Unix/Linux, high-performance computing, and experience with large-scale, high-dimensional biomedical datasets.
Preferred experience includes multi-omics data analysis and integration, multimodal machine learning, cancer genomics, precision medicine, explainable ML, teaching or mentoring, and independent research development. The lab also offers opportunities to contribute to grant applications, research networks, education, and mentorship.
The appointment is for up to two years. Applications must be submitted through KTH’s recruitment system, and the deadline is 15 November 2026. The application should include a CV, diplomas and grade transcripts, and a brief motivation letter describing why you want to work in A Lundberg Lab and how your interests connect with your past work and future goals.
Contact: Arian Lundberg ([email protected]).
Funding details
Available
What's required
Applicants must hold a doctoral degree in computer science, machine learning, computational biology, bioinformatics, or a related field by the time the appointment decision is made. The post requires a strong research profile in machine learning, deep learning, computational biology, or related computational fields, with demonstrated interest in applying computational methods to cancer or other biomedical research. Required experience includes Python and/or R programming, development and evaluation of computational or machine learning methods, solid knowledge of statistics/biostatistics and multivariate data analysis, excellent written and spoken English, work with large-scale high-dimensional biological or biomedical datasets, at least one relevant area such as multi-omics integration, multimodal machine learning, medical imaging, computational pathology, image analysis, biological data integration, or foundation models, Unix/Linux and high-performance computing, and scientific writing/publications and/or grant applications. Preferred qualifications include a PhD obtained within the last three years, interpretable or explainable ML, cancer biology/cancer genomics/precision medicine experience, large-scale public or clinical datasets, independent research project development, and teaching/mentoring/supervision experience.
How to apply
Log into KTH’s recruitment system and submit a complete application through the Varbi apply link. Include a CV, copies of diplomas and grades, translations if needed, and a brief two-page motivation letter explaining your interest in A Lundberg Lab and how it fits your academic goals. Ensure the application is submitted by the deadline.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.