Postdoctoral Researcher in Computational Genetics
vor 1 Monat
We are seeking a highly motivated and experienced Postdoctoral Computational Geneticist to join our team at the Berlin Institute of Health.
About the Role:- Develop and implement computational workflows for processing and analysis of large-scale genome sequencing efforts from the UK Biobank or Genes & Health.
- Manage and analyze large phenotypic datasets for genetic analysis, including outcome derivation from electronic health records.
- Prepare and publish scientific articles in top-tier journals.
- Integrate different types of 'omic' data for causal inference and prioritization of drug targets and disease mechanisms.
- Train and supervise Master or PhD students within the group in molecular epidemiology.
- PhD in statistical genetics, genetic epidemiology, or a closely related discipline, with a proven track record of publishing scientific articles.
- Extensive experience in several areas, including generation and/or analysis of high-throughput genetic and genomic data, genome-scale association analyses, and computational genetics.
- High-level expertise in programming languages such as R or Python.
- Aptitude for biological inference and clinical translation.
- Desirable skills include metabolomic and proteomic data and technologies, Bayesian statistics, and cloud computing services.
The Berlin Institute of Health (BIH) is a leading research institute focused on medical translation, transferring biomedical research findings into novel approaches to personalized prediction, prevention, diagnostics, and therapies.
What We Offer:- A dynamic and collaborative work environment.
- Opportunities for professional growth and development.
- A competitive salary and benefits package.
- A limited full-time position (min. 39h/week).
- Flexible working hours and option to work mobile for a better work-life balance.
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