Postdoctoral Scientist – Human Genomics/ Computational Genomics (f/m/d)

  • Publizierung bis: 10.07.2024
  • Kennziffer: BIH-44.24
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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 Research Group Computational Medicine starting from July 1st 2024 limited until June 30th 2027 we are looking for a
 

Postdoctoral Scientist (TVöD VKA-K E14) – Human Genomics/ Computational Genomics (f/m/d)

in full-time (39,00/week)
 
We are seeking to recruit an emerging or established leader 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 portefolio and team. This is a broad search, and we will consider candidates with varying levels of experience and interest in different areas, ranging from functional, statistical, computational to clinical genomics. The successful candidate will have evidence of the application of cutting-edge genomic technologies and high-throughput screening in diverse populations to understand the genetic basis and mechanisms underlying human diseases. We are looking for a person with a strong translational focus, driven to identify new genetic targets for the prevention, diagnosis, or treatment of diverse diseases.

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 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
  • Opportunities to contribute to scientific projects within the research focus of the Computational Medicine group

What you bring along:

  • Ph.D. 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 call 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 ge-nomic 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 enviroments
  • 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
  • Remuneration up to TVöD VKA-K E14, taking into account personal requirements
  • 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, bicycle leasing or abonnement (JobRad, mylo)
  • Very easily accessible and attractive workplace at Rahel Hirsch Center for Translational Medicine, Luisenstr. 65, 10117 Berlin

We live diversity!

We welcome applications from people with diverse backgrounds, regardless of gender, nationality, ethnic and social origin, religion and ideology, disability, age, sexual orientation and identity. Applications from women are expressly encouraged. Severely disabled and equivalent applicants will be given special consideration if they have the same qualifications and suitability.
We believe that diverse teams representing a wide range of experiences, perspectives and backgrounds enrich our research and work.
 
Please submit your application via the BIH career portal (https://jobs.bihealth.org/) with a letter of motivation, CV and relevant work and degree certificates by 10.07.2024, quoting the reference number BIH-44.24.
 
If you have any technical questions about the job posting, please contact Prof. Claudia Langenberg (claudia.langenberg@bih-charite.de) or Dr. Maik Pietzner (maik.pietzner@bih-charite.de).
 
Note: If you have a foreign degree, please submit proof of recognition of your degree in Germany with your application. The proof can be obtained via the anabin database. Please note that it may be necessary to obtain a certificate assessment from the ZAB. You can find more information at: https://www.kmk.org/zab/central-office-for-foreign-education.html
 
Proof of measles immunity / measles vaccination is a prerequisite for employment for those born after 1970.
You can find more information on the BIH at https://www.bihealth.org/en/