Post Doc
vor 1 Woche
**The Position**:
As a Post Doctoral Data Scientist, you will work at the forefront of data-driven research in drug discovery and shape how the global Drug Discovery Sciences (gDDS) department makes key decisions when developing new medicines.
This Position is limited for 2 years.
**Tasks & responsibilities**:
- In your new role, you will develop and evaluate novel statistical methods to quantify uncertainty in in-vitro ADME experiments and PK models for compounds in Discovery Research.
- Furthermore, you will improve PK profiling in lead optimization by guiding in vitro assay setup based on statistical analyses of our rich in-house pharmacological data sets.
- Moreover, you will collaborate closely across the gDDS with experts in drug discovery, data science, machine learning, in-vitro ADME and PK/PD modelling.
- In addition, you will share your results at internal and external meetings, present at scientific conferences and publish in peer-reviewed journals.
**Requirements**:
- PhD in Computer Sciences, Data Sciences, Mathematics, Statistics, Computational Biology, Pharmacology or related fields; PhD should either be already obtained, or the defense of the PhD thesis foreseeable
- Proficiency in scientific programming languages (e.g., Python, R, Julia), and common data analytics tools
- Solid understanding of mathematics, statistics, and data science; understanding of pharmacology or in-vitro biology is an advantage
- Authentic, enthusiastic, cooperative, and innovative personality
- Fluent in English, written and spoken
***Ready to contact us?**:
Recruitment process:
Step 2: Virtual meeting in the period from 16. - 22.01.2025.
Step 3: On-site interviews in the period from 10. - 14.02.2025.
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