Summary
SciLifeLab and KTH Royal Institute of Technology are inviting applications for a postdoctoral position focused on multi-omics machine learning and computational cancer biology. The successful candidate will join the A Lundberg Lab to develop interpretable models for cancer precision medicine, aiming to understand the molecular mechanisms behind cancer metastasis and treatment resistance.
| Designation | Postdoctoral Fellow |
| Research Area | Machine Learning, Multi-omics, and Computational Cancer Biology |
| Location | Stockholm, Sweden (SciLifeLab and KTH) |
| Last Date to Apply | November 15, 2026 |
Job Description
The postdoc will be part of the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS). The research involves developing and applying computational approaches to integrate diverse data modalities, including biological, clinical/pathological data, and medical imaging. Key methodologies include:
- Machine learning and deep learning.
- Image analysis and computational pathology.
- Multi-omics data integration.
- Development of foundation models and interpretable biological models.
The position offers opportunities for interdisciplinary research, contributing to grant applications, research networks, and mentorship within a dynamic scientific environment.
Eligibility/Qualification
Requirements
- A doctoral degree in computer science, machine learning, computational biology, bioinformatics, or a related field (must be completed by the time of appointment).
- Strong research profile in machine learning or computational biology with an interest in biomedical applications.
- Proficiency in Python and/or R.
- Solid knowledge of statistics and multivariate data analysis.
- Excellent written and spoken English.
- Experience with high-dimensional biological datasets and Unix/Linux environments.
Preferred Qualifications
- A doctoral degree obtained within the last three years.
- Experience in developing explainable machine learning models.
- Background in cancer genomics or precision medicine.
- Experience with large-scale public or clinical datasets.
How to Apply
Interested candidates must apply through the KTH recruitment system. The application should include:
- A comprehensive CV detailing professional experience and knowledge.
- Copies of diplomas and academic transcripts (with English or Swedish translations if necessary).
- A brief description (maximum two pages) of research interests, motivation for joining the A Lundberg Lab, and how your background aligns with the project goals.
Ensure all documents are submitted before the deadline at midnight CET/CEST.
Apply Link
For more details and to submit your application, please visit the official KTH recruitment portal via the SciLifeLab career page: Apply Here
Last Date for Apply
November 15, 2026
