(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
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 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.
▼ Further Information
Information regarding the application process
Equal Opportunities:
Equal opportunities are an integral part of our HR policy. UKM supports the compatibility of career and family life and has been certified as a family-conscious employer since 2010. In principle, part-time employment is possible. In areas where women are underrepresented, they will be given preferential consideration in accordance with statutory provisions, provided they have equal qualifications, aptitude, and professional performance. Applicants with severe disabilities will also be given preferential consideration under the same conditions and within the framework of legal regulations.
Further Information:
- Due to the legal requirements of the German Measles Protection Act, employment with us is only possible with full vaccination protection against measles.
- We reserve the right to close the selection process as soon as a suitable candidate has been found.
- Applications submitted by email or post cannot be considered.
- Salary according to TV-L. Classification is based on the assigned responsibilities and qualifications. Placement within the pay scale levels is determined according to relevant professional experience.
Notice to Recruitment Agencies:
UKM already cooperates with selected recruitment agencies on the basis of framework agreements. We therefore kindly ask you to refrain from submitting unsolicited offers. Information on tender procedures can generally be found on the NRW procurement platform.
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