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The mission of the Berlin Institute of Health at Charité (BIH) is medical translation: transferring biomedical research findings into novel approaches to personalized prediction, prevention, diagnostics and therapies and, conversely, using clinical observations to develop new research ideas. The aim is to deliver relevant medical benefits to patients and the population at large. Since 2021 the BIH has been integrated into Charité as its so-called third pillar.

For the Computational Medicine group, we are looking for a full-time

Postdoctoral Researcher (d/w/m) in Genomics and Computational Medicine

for a period of three years as soon as possible.

We are seeking to recruit an emerging leader alongside a talented junior postdoctoral researcher in Human Genomics to join the Computational Medicine team at the Berlin Institute of Health. This is a fantastic opportunity for an individual with a strong track record and keen interest in establishing their own research group.

We will consider candidates with varying levels of experience and interest in different areas, from functional, statistical, or computational genomics. The successful candidates will have evidence of the application of cutting-edge genomic technologies and high-throughput screening to understand the genetic basis and mechanisms underlying human diseases. We are looking for applicants with a strong translational focus, driven to identify new genetic targets for the prevention, diagnosis, or treatment of different diseases in diverse populations.

What you can expect

  • Advancement of the group's research strategy for molecular precision healthcare through the use of ethnically diverse biobank-scale DNA sequencing resources, including whole exome and whole genome sequencing, in agreement with the leadership team
  • Development of the research group, supervision, development and management of junior staff and students
  • Mining of electronic health records to sample patient cohorts for genetic analysis
  • Implementation and development of statistical techniques to associate rare and structural variation in the human genome with health outcomes at scale, including the use of deep learning-derived variant prioritisation methods
  • Using genetically anchored causal inference methods to advance understanding of the genetic causes and mechanisms underlying diverse diseases and their subtypes in ethnically diverse populations
  • Developing bioinformatic workflows that integrate population-scale genomics research with single cell experiments, to identify disease-relevant cell types and states

What you bring along

  • PhD in genomics, statistical genomics, genetic epidemiology or a closely related discipline
  • Stage-appropriate track record of high-impact research and publications in the field of genomics, multiomics, and/or single-cell analysis
  • Evidence of successful grant funding and managerial experience, depending on career stage
  • Demonstrable experience in several of the following areas: 1) Generation and/or analysis of high-throughput genomic data, 2) Genome-scale association analyses using large-scale whole-genome or whole-exome sequencing data, 3) High level of proficiency in computational genomics e.g, variant annotation
  • Aptitude for biological inference and clinical translation
  • Demonstrable extensive experience with principal programming languages in HPC or cloud environments
  • Desirable skills and experience: experience in integrating single-cell omics data, including sc-RNAseq or sc-ATACseq
  • High level of proficiency in the English language

What we offer you

  • A varied job in a forward-looking research institute
  • Pay group E13 TVöD VKA-K. The classification is based on qualifications, the respective experience level is calculated on the basis of professional experience. The annual salary (gross) is stated for a full-time position without special or additional payments. The collective agreement can be found here.
  • Additional benefits customary in the public sector (including annual special payment, company pension scheme (VBL), capital-forming benefits)
  • Flexible working hours and the option of working remote
  • 30 vacation days per year (with a five-day week)
  • Various support offers to balance work and family life (childcare, cooperation with voiio)
  • Very good training and further education opportunities
  • Mobile citizens' office on site
  • Corporate benefits (travel, leisure, shopping, etc.), Charité Gympass, JobRad
  • Very easily accessible and attractive workplace at the Rahel Hirsch Center for Translational Medicine, Luisenstr. 65, 10117 Berlin