Sr Sci Cheminformatics

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We are seeking a passionate and dedicatedSenior Scientist Cheminformatics to join our cutting-edge drug discovery team. This position offers an exciting opportunity to build and advance state-of-the-art informatics capabilities working closely with medicinal chemists and multidisciplinary project teams. If you have a strong foundation in cheminformatics a passion for coding and a keen interest in drug discovery we want to hear from you!

Key Responsibilities

• Advance drug discovery projects by implementing industry-leading cheminformatics data science and machine learning approaches thereby strengthening data-driven decision-making

• Implement ML models to support the execution of sequential screening

• Integrate and mine internal and external heterogenous data sources in support of pre-portfolio projects especially target-agnostic phenotypic screens

• Build user-friendly GUIs and dashboards to facilitate data exploration and presentation

• Design build and optimize informatics workflows working closely together with our IT team to go all the way from ideation to production

• Collaborate with cross-functional teams to translate data insights into actionable decisions in drug discovery

• Stay up to date with the latest developments in cheminformatics machine learning and computational chemistry

Required Skills

• PhD in Computational Chemistry Cheminformatics Bioinformatics or a related field

• Solid knowledge of organic and/or medicinal chemistry

• Good understanding of structure- and ligand-based SAR analysis

• Knowledge of small molecule descriptors fingerprints and related cheminformatics concepts

• Hands-on experience with mining public data sources such as ChEMBL Uniprot ProteinAtlas and GeneOntology

• First-hand experience with state-of-the-art cheminformatics techniques e.g. FWA MMP enumeration and generative tools (CrEM ReInvent)

• Excellent coding skills (preferably python)

• Experience with cheminformatics software and libraries (e.g. RDKit OpenEye toolkits)

• Familiarity with high-performance computing (HPC) environments and cloud computing platforms

• Enthusiasm for drug discovery and working within multi-disciplinary project teams

• Strong problem-solving skills and ability to work independently and collaboratively

Preferred Skills

• Proficiency in front-end technologies and visualization techniques preferably with previous experience in the development of visualization tools to enable drug discovery

• Experience with machine learning applications in molecular design (sequence models generative models property prediction)

• Familiarity with agentic systems and their application to pharmaceutical research

• Experience in software engineering and CI/CD

• Familiarity with molecular modeling software (Schroedinger MOE Cresset) and end-user design tools (e.g. LiveDesign)

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