Job Description

ABOUT THIS ROLE

New drugs are discovered through creative design and pioneering medicinal chemistry. In this role, you will leverage your modeling skills and knowledge of computational chemistry to support the design and prioritization of new small molecules aimed to treat neurological and rare diseases.  You will be expected to work in a team environment and to effectively communicate with co-workers from a variety of disciplines and scientific backgrounds.

 WHAT YOU’LL DO

• Drive programs with your modeling contributions, designing and prioritizing new analogs for small molecule drug discovery projects
• Learn and apply property-based drug design tactics as applied to neuroscience small molecule drug discovery
• Integrate data into iterative multivariate compound optimization
• Collaborate across functions in program teams
• Utilize structure and ligand-based drug design with cutting edge software
• Our mission to find therapies for neurological and rare diseases is a unique focus within our industry and this shared purpose is what connects us as a team. We work together to overcome obstacles and to follow the science.

 The successful candidate will be a creative and highly motivated scientist with demonstrated expertise in the field of computational chemistry and cheminformatics. You will be expected to stay current with the chemical literature and apply the latest advances in computational methods to address drug discovery project challenges. As a key contributor to small molecule discovery projects, thinking independently to solve complex problems is an important aspect of this position.

Qualifications

REQUIRED SKILLS

•  Ph.D. in a computational field (e.g. cheminformatics, computational chemistry)
• 0-2 years postdoctoral experience
• Commitment and ability to work effectively as part of a multidisciplinary team
• Track record of publications, and/or scientific presentations
• Excellent oral and written communication skills are essential

PREFERRED SKILLS

• Experience using molecular modeling packages to support structure-based drug design projects for lead generation and lead optimization
• Experience supporting medicinal chemistry optimization campaigns in understanding SAR and building hypotheses
• Working knowledge of one or more of the following software packages: RDKit, OpenEye, Schrödinger, CCG and Molecular Discovery
• Knowledge in building predictive models using statistical and machine learning methods supported by a deep understanding of molecular descriptors
• Experience in the creation of data workflows as well as data analysis and interpretation
• Excellent knowledge in at least one programming or scripting language (e.g. Python, Java, R)

Additional Information

All your information will be kept confidential according to EEO guidelines.