Director Digital Life Sciences (m/f/d)

at  Nuvisan GmbH

QUALIFICATIONS

• PhD in the life sciences, computer science, or related disciplines
• 10+ years of experience driving projects in the digital life-science arena (Computational Chemistry, Data Sciences)
• Experience leading a molecular modelling or research informatics group in the pharmaceutical, agrochemical or a related life-science industry
• Good understanding of chemistry, biology, pharmacology and DMPK as relevant for the drug design process
• Profound experience in a broad spectrum of computational chemistry techniques applied in drug discovery, covering structure- and ligand-based as well as ML approaches
• Very good language skills in written and spoken English
• Independent working attitude with excellent skills in teamwork, reliability, and flexibility
• Track record of publications and presentations at scientific meetings, demonstrating the application of computational molecular design to drug discovery
• Excellent presentation skills along with the ability to work in a dynamic, interdisciplinary team environment with strong focus and ambitition

• 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