AbbVie

Senior Scientist II/ Principal Research Scientist I, Molecular Modeler

Employer
AbbVie
Location
Lake County, IL, United States
Posted
Sep 19, 2020
Ref
2004609
Required Education
Bachelors Degree
Position Type
Full time
About AbbVie
AbbVie's mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women's health and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on Twitter , Facebook , Instagram , YouTube and LinkedIn .

The Drug Discovery 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.

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.

Qualifications

Qualifications:

Position will be hired based on level of experience.
  • BS, MS, or PHD in Computational Chemistry or related discipline, with typically 12-14+ (BS), 10-12+ (MS) or 4-6+ (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.
  • 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.
Key Leadership Competencies
  • Builds strong relationships with peers and cross functionally with partners outside of team to enable higher performance.
  • Learns fast, grasps the 'essence' and can change the 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 to reality


Significant Work Activities
N/A
Travel
Yes, 5 % of the Time
Job Type
Experienced
Schedule
Full-time
Job Level Code
M
Equal Employment Opportunity
At AbbVie, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients. As an equal opportunity employer we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic.