Job Id: 11919

Fixed-term (2 years) | Full-time | Salary according to TV-L E13 | Institute of Epidemiology and Social Medicine - Translational Epidemiology Unit

We are UKM. We have a clear social mission and, with our focus on healthcare, research, and teaching, we bear a unique responsibility.

To meet our high standards every day, we are looking forward to your scientific expertise in – ideally with you on board!

PROJECT:

The multinational, large-scale omics projects focus on identifying molecular biomarkers that predict the risk of brain diseases such as Alzheimer’s disease, Parkinson’s disease, and amyotrophic lateral sclerosis.

RESPONSIBILITIES:

• Analyze large-scale genome (GSA array), genome-wide methylome (EPIC array) and proteome (SomaScan, Olink) datasets from ~6,000 study participants
• Apply advanced analytical methods for integrative multi-omics analyses
• Implement state-of-the-art statistical and computational techniques for disease prediction
• Leverage extensive, high-quality multi-omics data resources to drive innovative research

REQUIREMENTS:

• Master’s degree (or higher) in (bio-)statistics, epidemiology, mathematics, or a related discipline
• Proven proficiency in R
• Solid background in (bio-)statistical methods and analyses, including experience with Cox regression analyses
• A high level of motivation and a drive for excellence
• Strong analytical thinking, scientific writing, and problem-solving skills
• Excellent communication as well as fluency in English (spoken and written)

WE OFFER:

• Salary according to tariff agreement, extra annual payment, and company pension plan (VBL)
• 30 days of vacation per year, plus two additional days off on Christmas Eve and New Year's Eve
• Participation in internationally competitive, high-impact "big data” omics projects using state-of-the-art scientific, statistical, predictive, and data integration approaches
• Opportunities to develop and pursue your own scientific ideas and research interests
• The possibility to earn a Ph.D. or to complete habilitation
• Individualized support for your academic and professional career development
• A respectful and appreciative work environment within a diverse team
• Support and advisory services for health and work-life balance
• Additional benefits such as sports programs, job ticket, company events, cafeteria, and emergency childcare

For inquiries, please contact: Prof. Dr. Christina Lill, +49 (0)251 83-57101, christina.lill@uni-muenster.de

Apply now via our career portal by 08 April 2026.