Summary
This is an exciting opportunity for a highly motivated PhD student to contribute to cutting-edge research in cancer proteomics at the Science for Life Laboratory (SciLifeLab) under the supervision of Professor Janne Lehtiö. The focus will be on analyzing clinical cohorts characterized by mass spectrometry-based proteomics, particularly in the context of breast cancer, with an emphasis on triple-negative breast cancer (TNBC).
PhD Position in Bioinformatics – Clinical Breast Cancer Proteomics, Stockholm, Sweden
Designation
PhD Student in Bioinformatics
Table of Key Information
| Details | Information |
|---|---|
| Research Area | Clinical Breast Cancer Proteomics |
| Location | Stockholm, Sweden |
| Duration | Maximum 4 years full-time |
| Salary | Contractual salary as a doctoral studentship |
| Start Date | As per agreement |
| Number of Positions | 1 |
Research Area
The position focuses on multi-omics data analysis in cancer, specifically employing mass spectrometry-based proteomics to improve treatment outcomes and uncover new biomarkers in breast cancer.
Eligibility/Qualification
- General Requirements:
- Master’s degree in bioinformatics, biology, medicine, computer science, mathematical statistics, or relevant fields.
- Experience in bioinformatics data analysis and programming in Python and/or R.
- Proficiency in English (equivalent to English B/English 6 at Swedish upper secondary school).
- Specific Requirements:
- Familiarity with high-throughput omics data (e.g., MS-based proteomics, NGS).
- Knowledge of cell and molecular biology, statistical methods, and breast cancer biology.
Job Description
The PhD student will undertake the following tasks:
- Integrative and translational analysis of omics data from clinical cohorts, focusing on TNBC.
- Apply established data analysis pipelines and develop new computational strategies.
- Validate analyses using public domain data.
- Collaborate with a diverse research group aiming to advance translational cancer research.
How to Apply
Interested candidates should submit their application and supporting documents through the Varbi recruitment system. The application should include:
- A personal letter and curriculum vitae.
- Degree projects and previous publications, if any.
- Certified documents for general and specific eligibility.
Last Date to Apply
Deadline: May 13, 2026
Contact Information
For further inquiries, you can reach:
- Henrik Johansson: henrik.johansson@ki.se
- Janne Lehtiö: janne.lehtio@ki.se
- Helena Bäckvall: helena.backvall@ki.se
Take this opportunity to advance your career in data-driven life science and contribute to important research in cancer diagnosis and treatment!
