Senior Scientist, Molecular Modeling
The Discovery Chemistry and Technologies 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. Key Responsibilities Include:
- Applying computational methods in the design of strategic molecules and libraries to advance various drug discovery projects.
- Make a major impact on multi-disciplinary teams.
- Exemplify strong interpersonal skills, excellent communication skills and have demonstrated the ability to guide teams in drug discovery.
- 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.
- BS, MS or PhD in Computational Chemistry or related discipline, with 14-16+ years (BS), 12-14+ years (MS), or 4-6+ years (PhD) of experience in the application of molecular modeling to drug discovery are required.
- 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.
- Ability to script work flows and implement new algorithms in a high-performance computing environment is preferred.
- Experience working with multi-disciplinary teams is required.
- Clear communication of the results of computational experiments and interpretation of structural models to team members accelerating the discovery of new drugs is expected.
Equal Opportunity Employer Minorities/Women/Veterans/Disabled