Universitätsklinikum Münster

Mathematician - data analysis (m/f/d)

Stellenbeschreibung:

(Bio-)Statistician / Epidemiologist / Mathematician (gn*) Multi-Omics-Based Survival Analyses

Fixed-term (2 years) | Full-time | Salary according to TV-L E13 | Institute of Epidemiology and Social Medicine – Translational Epidemiology Unit | Job ID: 11919

We are UKM. We have a clear social mission and, with our focus on healthcare, research, and teaching, we bear a unique responsibility - 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 balanceAdditional benefits such as sports programs, job ticket, company events, cafeteria, and emergency childcare

Benefits

  • Exciting Projects
  • Professional Development and Training
  • Interdisciplinary Collaboration
  • Part of Research Innovation
  • Additional Benefits

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Stelleninformationen

  • Veröffentlichungsdatum:

    19 Mär 2026
  • Standort:

    Munster

    Einsatzort:

    Albert-Schweitzer-Campus 1, Gebäude D5 48149 Münster
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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