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Post-doc in Computational Chemistry / Artificial Intelligence (all genders), limited 3 years

Your role:

We are striving for leadership in the application of Digital Technologies across its various Businesses. In this context we are offering a Post Doc position for the development and application of Machine Learning and Deep Learning in drug discovery. These techniques will be used for the prediction of toxicological and pharmacological endpoints. You will be supporting a major EU/IMI project on " Federated and privacy-preserving learning - multi-task learning across 9 pharma partners". You will closely interact with internal experts from toxicology, medicinal chemistry, drug design, and with a leading academic research group in the field of Deep Learning, as well as with various AI companies. Additionally, you will be directly involved in on-going drug discovery projects and will drive our efforts to identify and optimize innovative oncology and immunology drugs. As outcome of your work, you will have a direct impact on fighting major diseases, like cancer.


Who you are:

•      PhD in Life Sciences (e.g. Chemistry, Pharmacy or Bioinformatics) or Computer Science

•      In depth experience with Machine Learning and/or Deep Learning

•      Excellent knowledge of statistics and Chemoinformatics know-how is a bonus (SMILES, molecular fingerprints etc.)

•      Profound background in the development of scientific software (preferred: Python/Django/RDKit/RESTful)

•      You are a team player, communicative and have an out-going personality

Job Requisition ID:  187145
Location:  Darmstadt
Career Level:  B - Recent University Graduate(<1 year of experien
Working time model:  full-time

Job Segment: Biotech, Toxicology, Immunology, Oncology, Scientist, Science, Healthcare

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