Job Summary

The Center for Drug Discovery (CDD) is a multi-disciplinary center comprised of chemists and pharmacologists working together to discover new therapeutics in a non-profit setting. Our work is funded by federal agencies, such as the NIH and FDA, through grants and contracts in addition to various commercial entities. CDD is currently seeking to grow its federal and commercial computational chemistry offerings, which creates the need for a Computational Chemist to join our team of established researchers

Ideally, you will previous experience in a pharmaceutical, biotech, or academic/non-profit setting. We are particularly interested in candidates with experience in the design and development of new drug candidates using in silico approaches. In this new and exciting role, you will support a team of researchers working on diverse molecular targets, largely but not exclusively focusing on G-protein-coupled receptors(GPCRs).  To be successful in this role, you will be capable of managing collaborations and building strong relationships with peers and clients.

This position is located at our headquarters in Research Triangle Park, NC, an area that is consistently ranked as one of the top places to live in the US with moderate cost of living and excellent public schools.

Responsibilities

• Integrate into RTI’s drug discovery business through in silico federal/commercial research activities.
• Collaborate with medicinal chemists and pharmacologists as a technical expert.
• Assist with ongoing NIH-funded grants and solicit new funding as appropriate.
• Assist with management of in-house chemical databases.

Qualifications

• PhD with 5 years of experience in chemistry, medicinal chemistry, physical chemistry, pharmaceutical science, or a related field.
• Demonstrated understanding of and experience in drug discovery research.
• A background in theory underlying computational investigations: molecular-mechanics/quantum-mechanics/thermochemistry is desired.
• Demonstrated experience writing and compiling computational-chemistry code, including C++/Java/Fortran coding experience.
• Demonstrated Linux/Unix platform and scripting/coding experience.

Preferred:

• Experience in machine learning/AI with underpinnings to support medicinal chemistry drug-discovery.
• Previous experience in both structure-based and ligand-based drug design.
• Previous experience with in silico ADMET assessments, using computational methods.