Data-driven precision medicine combines advanced computational methods, artificial intelligence, and molecular data to revolutionize how we understand diseases, predict their progression, and develop personalized treatments. By integrating genetic information, clinical data, and imaging techniques, researchers can identify disease patterns, discover new biomarkers, and create targeted diagnostic tools that improve patient outcomes and transform healthcare delivery.
✨ Position Overview
✅ Position Type: Doctoral (PhD) Student Position
✅ Location: Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
✅ Research Focus: Data-driven precision medicine and diagnostics for Multiple Sclerosis (MS) progression
✅ Duration: 4 years full-time
✅ Funding: DDLS (Data-Driven Life Sciences) program – SEK 3.1 billion initiative by Knut and Alice Wallenberg Foundation
✅ Connection: Part of EU-funded WISDOM project and DDLS Research School
💰 Compensation & Benefits
✅ Employment: Doctoral studentship with contractual salary
✅ Free access to modern gym facility
✅ Reimbursements for medical care
✅ Opportunities for international exchanges
🎯 Key Research Activities
✅ Advanced network analysis combined with Large Language Models (LLMs) for MS progression prediction
✅ Integration of omic, genotypic, and clinical datasets
✅ Generating synthetic data from personal data for rare disease research
✅ Developing predictive models for patient stratification and biomarker discovery
✅ Quality control and analysis of extensive datasets
✅ Collaboration with international WISDOM project consortium
📚 Requirements
✅ Master degree or equivalent (240 credits with at least 60 at advanced level)
✅ Strong background in Computational Biology, Data Science, Bioinformatics, or related fields
✅ Programming expertise: Python, R, and Linux-based software
✅ Experience with machine learning and deep learning frameworks
✅ High-performance computing experience (clusters like UPPMAX, GPUs)
✅ Proficiency in English (equivalent to English B/English 6 Swedish upper secondary level)
✅ Statistical analysis knowledge required
✅ Preferred: Experience in genetics, data visualization, omic data analysis, network theory
📄 Application Documents Required
✅ Personal letter
✅ Curriculum vitae (CV)
✅ Degree projects and previous publications (if any)
✅ Documentation of general eligibility (degree certificates)
✅ Documentation of specific eligibility (English proficiency proof)
✅ Any other documentation showing desirable skills
📅 Deadline: January 31, 2026 – 22:59 UTC
🔗 Application Link: https://kidoktorand.varbi.com/en/what:job/jobID:888694/type:job/where:39/apply:1
📝 Step-by-Step Application Guide
1️⃣ Visit the application portal through the Varbi recruitment system using the link above
2️⃣ Prepare your personal letter explaining your motivation, research interests, and how you meet the position requirements
3️⃣ Update your CV highlighting relevant computational biology, programming, and research experience
4️⃣ Gather your degree certificates and transcripts to certify general eligibility
5️⃣ Obtain English language proficiency documentation if not already available
6️⃣ Compile any publications, degree projects, or portfolio materials demonstrating your skills
7️⃣ Submit all documents through the Varbi system before the deadline (application preferred in English, Swedish also accepted)
8️⃣ Await notification – all applicants will be informed when recruitment is completed
🔍 Selection Process
Selection will be made among eligible applicants based on:
- Documented subject knowledge relevant to the research area
- Analytical skills
- Other documented knowledge or experience relevant to doctoral studies
🎓 About the Research Environment
The position offers a creative and inspiring environment with world-leading research on inflammatory diseases, particularly Multiple Sclerosis. The Center for Molecular Medicine provides broad expertise in genetics and epidemiology, close clinical links, and opportunities for collaboration through joint seminar series. The DDLS Research School includes over 260 doctoral students and 200 postdocs across four strategic research areas.
Serving 