Senior Scientist, Molecular Modeling

AbbVie is recruiting for a Senior Scientist, Molecular Modeling, to be located in North Chicago, Illinois.

The Drug Discovery Chemistry Science and Technology (DDST) organization within AbbVie R&D is continuing to build key scientific expertise in chemistry, structural biology and molecular modeling to partner closely with therapeutic area scientists to develop transformational new medicines in Oncology, Immunology, and Neuroscience. We are seeking an outstanding creative drug discovery scientist to join our team to bring his/her expertise to exciting efforts in novel areas of drug discovery.

Responsibilities

The Senior Scientist, Molecular Modeling, will apply computational methods in the design of strategic molecules and libraries to advance various drug discovery projects. This individual will actively make a major impact on multi-disciplinary teams. This individual must exemplify strong interpersonal skills, excellent communication skills and have demonstrated the ability to guide teams in drug discovery. This individual will be responsible for contributing to both lead identification and optimization programs using methods encompassing all computational aspects of drug discovery. In addition to molecular modeling, this individual will work together with other scientists at AbbVie to provide expertise in structural data analysis, cheminformatics and methods development.

Level and compensation will be commensurate with experience.

Basic:

• BS, MS, or PhD in Computational Chemistry or related discipline, and a minimum of 10+ (BS), 8+ (MS), or 0+ (PhD) years of experience in the application of molecular modeling to drug discovery
• Expert knowledge of the state-of-the-art for computational chemistry, and experience with commercial molecular modeling packages and data mining software is expected including experience in most of the following areas: structure-based drug design, homology modeling, cheminformatics, ligand/receptor docking, molecular dynamics, quantum methods, fragment-based design and diversity/similarity analysis.
• Experience working with multi-disciplinary teams

Preferred:

• Ph.D with 4+ years of experience in Computational Chemistry or related discipline
• Ability to script work flows and implement new algorithms in a high-performance computing environment

Key Leadership Competencies

Builds strong relationships with peers and cross functionally with partners to enable higher performance. Learns fast, grasps the "essence" and can change course quickly where indicated. Raises the bar and is never satisfied with the status quo. Creates a learning environment, open to suggestions and experimentation for improvement. Embraces the ideas of others, nurtures innovation and manages innovation to reality. Strong interpersonal and communication skills with demonstrated ability to work within a team environment.