Postdoctoral Position: Gene Regulatory: Applications are invited for a Postdoctoral Researcher position at the Science for Life Laboratory (SciLifeLab), Stockholm, Sweden, focusing on gene regulatory network (GRN) inference from spatial and single-cell multi-omics data using artificial intelligence and gene perturbation approaches. The project aims to advance computational methods to better understand cancer dysregulation, with applications to spatial liver cancer data. The position offers an excellent opportunity to work in a world-class interdisciplinary research environment.
Postdoctoral Research Position: Gene Regulatory Network Inference Using AI and Spatial & Single-Cell Multi-omics
Summary Table
| Item | Details |
|---|---|
| Position | Postdoctoral Researcher |
| Research Focus | Gene Regulatory Network Inference |
| Techniques | AI, Deep Learning, Spatial & Single-cell Multi-omics |
| Supervisor | Prof. Erik Sonnhammer |
| Institution | Science for Life Laboratory (SciLifeLab) |
| Location | Stockholm, Sweden |
| Collaborating Institutes | Stockholm University, KTH, Karolinska Institutet |
Designation
Postdoctoral Research Fellow (Postdoc)
Research Area
- Gene Regulatory Network (GRN) Inference
- Spatial Transcriptomics
- Single-cell Multi-omics
- Artificial Intelligence and Deep Learning
- Gene Perturbation Analysis
- Cancer Systems Biology
Location
Science for Life Laboratory (SciLifeLab), Stockholm, Sweden
Eligibility / Qualification
The successful candidate must meet one of the following criteria:
- Ph.D. in Bioinformatics, Computational Biology, or a related field, with strong knowledge of molecular biology
OR - Ph.D. in Molecular Biology or related field plus at least 2 years of postdoctoral experience in bioinformatics research and programming, documented by scientific publications
Essential Skills:
- Strong proficiency in analysis of sequence and gene expression data
- Excellent programming skills (Python required; Matlab and R as additional merits)
- Experience with AI / machine learning methods
- Strong UNIX/Linux skills
- Solid understanding of molecular biology concepts
Job Description
The postdoctoral researcher will:
- Develop and apply AI-based deep learning frameworks for GRN inference
- Design specialized neural network architectures to integrate gene perturbation data
- Develop systems to infer perturbation designs from gene expression and chromatin accessibility data
- Enable region-specific GRN inference from spatial multi-omics data
- Apply developed methods to spatial liver cancer datasets
- Perform programming, data analysis, benchmarking, and computational modeling
- Contribute to understanding cancer dysregulation and potential therapeutic strategies
How to Apply
Interested candidates should contact the project supervisor for further information and application details:
Prof. Erik Sonnhammer
📧 Email: Erik.Sonnhammer@scilifelab.se
🌐 Website: http://sonnhammer.org/
Last Date for Apply
March 31, 2026
