Postdoc in Molecular Epidemiology/ Data Science - Leipzig, Deutschland - Springer Nature

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Leipzig, Deutschland

vor 1 Stunde

Lena Wagner

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Lena Wagner

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Beschreibung

Postdoc in Molecular Epidemiology/ Data Science (f/m/x):


  • Employer
  • Helmholtz Association of German Research Centres
  • Location
  • Leipzig
  • Closing date 12 May 2024
  • Discipline
Life Science
Job Type
Postdoctoral
Employment - Hours
Full time
Duration
Fixed term
Qualification
PhD
Sector
Academia- You need to sign in or create an account to a job.

  • Job Details
  • Company

Job Details:


Area of research:

Scientific / postdoctoral posts

Job description:

Postdoc in Molecular Epidemiology/ Data Science (f/m/x)

Full time
39 h/week

Leipzig

**We are Helmholtz Munich

  • In a rapidly changing world, we discover breakthrough solutions for better health.**
    Our research is focused within the areas of metabolic health/diabetes, environmental health, molecular targets and therapies, cell programming and repair, bioengineering, and computational health. We particularly excel in the fields of basic research, bioengineering, artificial intelligence, and technological development.

Through this research, we build the foundations for medical innovation. Together with our partners, we seek to accelerate the transfer of our research, so that laboratory ideas can reach society and improve people's quality of life at the fastest rate possible.

This is what drives us. Why not join us and make a difference?
As one of the world's leading research centers,

Helmholtz Munich

provides a stimulating international environment for excellent research.

The
Helmholtz Institute for Metabolic, Obesity and Vascular Research (
HI-MAG) at the
University of Leipzig, Germany is part of
Helmholtz Munich and aims to uncover the molecular and clinical underpinnings of metabolic, obesity and vascular disorders to enable precision therapies.

Together with renowned scientists and supported by state-of-the-art infrastructure, you will have the opportunity to make important contributions towards scientific knowledge and the improvement of people's quality of life.

Our international and dynamic interdisciplinary team is closely integrated with the research structures of the Medical Faculty of the University of Leipzig, Helmholtz Munich, and leading local as well as national research consortia, such as the Collaborative Research Consortium SFB "ObesityMechanisms", the future German Center for Child and Youth Health (DZKJ), and our large children's and adolescent's cohort LIFE Child.

We have large, well-characterized cohorts up and running with a longitudinal setting:

LIFE Child

(n Leipzig Obesity Childhood Cohort (n3000) complemented by the Leipzig Adipose Tissue Childhood cohort (n~500), with deep phenotyping allowing for combining clinical, epidemiological, lifestyle and functional omics data. Leipzig is a lively and attractive University City of 630,000 people with a rich cultural and musical history, numerous parks within the city and several lakes at cycling distance. Leipzig has been rated amongst the 100 most livable cities twice in the New York Times rating.

Prof. Matthias Tschöp (Dr. Med., Dr. hc.), CEO of Helmholtz Munich
:
"We believe that excellent research requires a range of different perspectives. Diverse teams reach better solutions and are more innovative in their research topics.

Establishing our Diversity Management Strategy demonstrates our commitment to ensuring an appreciative company culture based on mutual respect. We are also implementing diversity-sensitive processes throughout our whole organization."

Your tasks

  • Modelling the risk for complex disease derived from the interaction of genetic predisposition and environmental factors acting in childhood through longitudinal and crosssectional analyses in large cohort studies
  • Developing risk scores and prediction modelling, including genetic predisposition and consideration of developmental patterns
  • Identification of molecular targets for genetic predisposition to obesity and related cardiometabolic disorders in childhood using integrative omics approaches combining functional and computational genomics data
  • Multiomics analyses:
genome, transcriptome, methylome in both blood and adipose tissue

  • Commonalities of gene environment interactions in the origin of common diseases in childhood
  • Large scale epidemiological analyses (incl. metaanalyses, trajectories, cluster analyses)

Profile:


  • A master degree in bioinformatics, systems biology, biomedicine, nutritional science, physiology, computer science, mathematics OR epidemiology OR any life science degree with a strong interest in data sciences
  • MD, PhD or experienced PhD student with interest/experience in the fields as outlined above
  • Sound knowledge of statistics in the context of biological systems (love numbers, stats and models) and basics of epidemiological statistics
  • Experience with largescale multiomics approaches is an advantage
  • Good understanding of the biomedical background and experience with cohort studies is
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