Computational Chemist

The Center for Drug Discovery (CDD) at RTI International 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. The ideal candidate to lead these efforts is expected to be a PhD-level scientist with previous experience in a pharmaceutical, biotech, or academic/non-profit setting. We are particularly interested in candidates with experience in design and development of new drug candidates using in silico approaches. Candidates with previous experience in both structure-based and ligand-based drug design, as well as in silico ADMET assessments, using computational methods are desired.

In this role, you will support a team of researchers working on diverse molecular targets, largely but not exclusively focusing on GPCR's.

At RTI, you will be provided the opportunity to conduct meaningful work in a collaborative, cross functional environment. We are focused on your career development and provide a generous benefits packages that includes tuition reimbursement, parental leave, paid time off, medical/dental, and 401K

This position is located at our headquarters in Research Triangle Park, NC.

The Raleigh, North Carolina area 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 CDD'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 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 with both writing and compiling computational-chemistry code, including C++/Java/Fortran coding experience.
Additional experience in machine learning/AI with underpinnings to support medicinal chemistry drug-discovery will be a plus.
Able to manage collaborations and build strong relationships with peers and clients.