
Senior Principal Scientist, Computational Chemist
- Cambridge
- Permanent
- Full-time
- Utilize modern molecular modelling methods to support different stages of R&D programs.
- Collaborate effectively with other departments and functions to advance research discovery projects expeditiously from hit identification to high quality preclinical candidates.
- Design, lead and drive computational studies on projects throughout the several discovery phases and ensure execution on agreed deliverables.
- Opportunities to lead or co-lead projects in addition to drive discipline-specific endeavours.
- Set the vision and strategy for computational chemistry.
- Foster innovative thinking in all areas of departmental activities, with a particular focus on computational and medicinal chemistry.
- Manage CRO compchem activities, providing expertise and guidance.
- Present plans and results internally, including at board level, and externally at conferences.
- Contribute to the writing of patent applications, scientific publications, and internal reports.
- Develop and mentor less experienced staff.
- Keep up to date with the latest scientific advances and trends in drug discovery to deliver the next-generation therapies.
- Undertake ongoing professional development by attending relevant training and conferences.
- MSc/PhD in a relevant scientific discipline (Pharmaceutical Sciences, Chemistry, Computational Chemistry) with a solid foundation in molecular modelling built in a pharma/biotech/CRO setting.
- Expert knowledge in CADD software packages and modern molecular modelling techniques.
- Sound knowledge in cutting-edge cheminformatic tools, AI/ML-enabled technologies, and in silico drug design, including both structure- and ligand-based methodologies.
- Passion for drug discovery with a deep entrepreneurial and problem-solving attitude.
- Mastery of all the theoretical and practical principles of medicinal chemistry and drug design.
- Broad knowledge of biophysical, biochemical, and cell-based assays used in the early stages of the drug discovery process.
- In depth understanding of multi-parameter optimization and ability to integrate disease biology, ADME/DMPK and toxicology data to solve complex drug discovery problems.
- Excellent leadership, management, organizational and team-working skills, and a talent to deliver project milestones within the expected time frame.
- Demonstrated track record of scientific publications.
- Exceptional oral, written, and interpersonal communication skills, and ability to develop and grow strong cross-functional collaborations.