🇸🇪 PhD Opportunity | Karolinska Institutet & SciLifeLab, Stockholm, Sweden
🔬 PhD Position: Bioinformatics — Clinical Breast Cancer Proteomics
(DDLS Research School — Data-Driven Precision Medicine & Diagnostics)
Karolinska Institutet & SciLifeLab are seeking a PhD student in bioinformatics to unravel the molecular landscape of breast cancer — particularly triple-negative breast cancer (TNBC) — using cutting-edge multi-omics data analysis!
📌 What’s the Project About?
The Cancer Proteomics Mass Spectrometry group led by Prof. Janne Lehtiö at SciLifeLab takes a translational approach to improving cancer treatment through multi-omics tumour data analysis. This PhD project will focus on integrative analysis of proteomics and multi-omics data from breast cancer clinical cohorts, with a particular focus on TNBC — one of the most aggressive and hardest-to-treat subtypes.
Key research activities:
✅ Integrative & translational analysis of multi-omics breast cancer cohort data
✅ Applying established & developing new computational strategies for quantitative biological data
✅ MS-based proteomics data processing & analysis
✅ Validation using public domain datasets
✅ Contributing to clinical decision-making tools in oncology
The position is part of the DDLS Research School (Data-Driven Life Science) — funded by 3.3 billion SEK over 12 years by the Knut and Alice Wallenberg (KAW) Foundation, training 260 PhD students & 200 postdocs in Sweden’s most ambitious life science initiative.
🔗 DDLS Research School:
scilifelab.se/data-driven/dd…
👨🏫 Supervisors & Key Contacts
➡️ Henrik Johansson — henrik.johansson@ki.se
➡️ Prof. Janne Lehtiö (Group Head) — janne.lehtio@ki.se
➡️ Helena Bäckvall — helena.backvall@ki.se
🏢 Research Group
Cancer Proteomics Mass Spectrometry Group, Lehtiö Lab
Science for Life Laboratory (SciLifeLab), Karolinska Institutet
💰 Terms & Benefits
✔️ Fully employed doctoral studentship — full-time, up to 4 years
✔️ Contractual monthly salary throughout the PhD
✔️ Free access to KI’s modern gym
✔️ Medical care reimbursements
✔️ International exchange opportunities via KI’s global university network
✔️ Vast range of elective PhD courses
✔️ Part of the DDLS Research School — Sweden’s national data-driven life science initiative
🎓 Who Should Apply?
➡️ Master’s in Bioinformatics, Biology, Medicine, Computer Science, Mathematical Statistics or related field
➡️ Documented bioinformatics data analysis experience
➡️ Programming in Python and/or R (or equivalent)
➡️ Knowledge of statistical methods & cell/molecular biology
➡️ Fluent in English (written & spoken)
Additional merits:
➡️ Experience with high-throughput omics (MS-based proteomics, NGS or similar)
➡️ Systems biology/medicine & large-scale data integration experience
➡️ Knowledge of breast cancer biology & translational cancer research
📄 What to Submit (via Varbi recruitment system — English or Swedish):
→ Personal letter & CV
→ Degree projects & previous publications (if any)
→ Documents certifying general & specific eligibility
→ Any additional documentation of relevant skills
⏱️ Key Dates
📅 Application Deadline: 13 May 2026
🔖 Reference Number: STÖD 2-1349/2026
🔗 Apply & Learn More:
phdscanner.com/opportunities…
🧬 Join one of Europe’s most ambitious data-driven life science programmes — and help unlock the next generation of precision cancer treatments!
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