PostDoc in Bioinformatics (focusing on systems energetics)

A central physiological process - energy homeostasis - regulates the energy balance within the body. An energy imbalance can have severe consequences on health and has led to the obesity pandemic with approximately two billion overweight people world-wide. This in turns leads to a substantially-increased risk for common chronic and fatal illnesses including type 2 diabetes, cardio-vascular diseases and cancer.

In the CRC/TRR Brown and Beige Fat an internationally-coordinated research consortium of renowned and leading experts in the field of energy metabolism (and systems energetics) strive to shed light on the cascade of organ crosstalk, signaling and energetics in close collaboration with computational biologists, bioinformaticians and physicians. As the central data computational unit, we will conduct research with 17 project partners from the life and medical sciences and make use of and establish data analysis and integration as well as mechanistic modelling to unravel underlying biological function.

Job description:

    Data management, statistical analysis and machine learning for large datasets (e.g. cell line models, mouse models and patient data)

    Development of a causal modelling pipeline based on natural language processing to assist the project partners in hypothesis generation (cell-cell and organ-organ crosstalk)

    Interpretation of analysis results and assist with reproducible computational analysis

    Statistical and bioinformatic consulting

    Collaboration with biologists and medical researchers

    Co-supervision of students

Your profile:

    PhD degree in (bio-)informatics, computational biology, computer science, mathematics or equivalent

    Strong experience in at least three of the following topics: Bioinformatics, statistics, machine learning, and data management/integration

    Programming skills (e.g., R or Python)

    Proficiency in written and spoken English

    Passion for science and scientific work

Demonstrated proficiency in deep learning frameworks e.g. pyTorch or TensorFlow and/or parallel distributed processing approaches such as MapReduce or Hadoop Spark beneficial.

Our offer:

    Working in an innovative, well-equipped and scientifically stimulating environment

    Further training opportunities

    Initial fixed-term employment contract for 3 years with a standard public service salary (PostDoc: 100% TV EntgO Bund EG 13)

The deadline for the application round is March 15, 2022.

Application documents (cover letter, CV, certificates, two reference letters) should be submitted as soon as possible as a single PDF file via email.

Contact: Prof. Dr. Jan Hasenauer, [email protected]