Postdoc - computational biologist (f/m/d)

Helmholtz Zentrum München - German Research Center for Environmental Health (HMGU)

Neuherberg (bei München), Germany

Work group:

Institute for Diabetes and Obesity

Area of research:

Scientific / postdoctoral posts

Starting date:


Job description:

As German Research Center for Environmental Health, Helmholtz Zentrum München pursues the goal of developing personalized medical approaches for the prevention and therapy of major common diseases such as diabetes mellitus, allergies and lung diseases. To achieve this, it investigates the interaction of genetics, environmental factors and lifestyle.

The Research Unit in Functional Genomics of Mitochondria, headed by Dr. Fabiana Perocchi, is looking for a highly talented and motivated computational biologist to join the Institute for Diabetes and Obesity (IDO) of the newly established Helmholtz Diabetes Center (HDC) in Munich.

We aim at reconstructing mitochondrial-signaling networks that generate in response to physiological and pathophysiological stimuli. Although a mitochondrial role in signal transduction has been suggested, it is still a mystery how the organelle senses, deciphers, and responds to intracellular and extracellular signals. To this goal, we combine systems biology approaches (genomewide loss-of-function screens, proteomics, comparative genomics, and metabolomics) with traditional genetic, biochemical, and physiological techniques applied to yeast, mouse models, human cell lines and patient samples. We have a strong expertise in developing large-scale functional assays to test and reverse the effects of genetic and chemical perturbations on several mitochondrial functions.


Postdoc – computational biologist (f/m/d)

Job Description

Mining and integration of large-scale data derived from high-throughput genomics, proteomics and metabolomics analyses.Data management including the development, maintenance, and support of associated biological software and databases.Ability to work with experimental biologists and physicians.Aid in the design of screening assays. Provide bioinformatics input to experimental design and strategy.

Your Qualifications

M.Sc. or PhD in mathematics, computer science, statistics, engineering, or a related disciplineStrong programming skills with several statistical computing languagesSignificant familiarity with machine learning theory and statistical modelling algorithmsPrior experience in mathematical modelling of biological networks, data mining and integration is strongly desiredStrong interpersonal skillsInnovative and creative thinkingAbility to work independentlyOutstanding written and oral English skills

What we offer you

A challenging and versatile field of work providing you with the freedom to follow your instinct and be creative. With the help of extensive and goal-orientated professional development measures and career-building programmes we encourage you to grow as a person. To ensure a good work/life balance we assist you with flexible working hours, in-house health management, a nursery, and an “Elder Care” concept as well as other consultation and support options.

Munich, with its numerous lakes and its vicinity to the Alps, is considered to be one of the cities with the best quality of life worldwide. With its first-class universities and research institutes it offers an intellectually stimulating environment.

Remuneration and social benefits are based on the collective wage agreement for public-sector employees at federal level (TV EntgO Bund).

The position is (initially) limited to 2 years, but under certain circumstances an extension can be arranged.

The activity involves special knowledge and experience specific to own scientific skills.

As a holder of the Total E-Quality Award, we promote equality of opportunity. To increase the share of women in management positions we very much welcome the respective applications. Qualified applicants with physical disabilities will be given preference.

Curious? If you have further questions, simply contact Dr. Fabiana Perocchi on  089 3187-3216, who will be happy to be of assistance.

We are looking forward to receiving your comprehensive online application.

Please apply via recruiter’s website.

Quote Reference: 2020/0006