RESPONSIBILITIES
- Driving the life science data strategy across departments and countries from target to clinical candidate from single data points to multidisciplinary datasets
- Developing a diverse team of Computational Chemists and Data Scientists
- Driving Computer-Aided Drug Discovery (CADD), Artificial Intelligence (AI), Machine Learning (ML), and Research Informatics (RI) across the company
- Overseeing the Research Informatics infrastructure and collaborating with Data Science professionals and engineers in the group to devise and implement its strategy and framework
- Develop and nurture the vision with respect to computational tools, generative chemistry and approaches to be employed in the group to support generative drug discovery
- Work as key player in our Science CRO with diverse clients from Biotech, big and mid-sized Pharma, Venture Capital, and other Life-Science enterprises
- Be part of interdisciplinary research teams and closely interact with colleagues from medicinal chemistry, structural biology, screening, pharmacology, and pharmacokinetics
- Advance drug discovery projects for clients by leveraging state-of-the-art virtual screening strategies encompassing computational chemistry, AI and ML techniques
- Manage internal and external projects and stakeholders, providing input into project proposals and reports as necessary
- Strengthen external visibility and scientific excellence through publishing and engaging with the scientific community
