Description:
Computational Drug Discovery (CDD) at AbbVie is a multifunctional, global organization that drives computational approaches to small molecule drug discovery, supporting all therapeutic areas. The mission of this organization is to apply state-of-the-art computational chemistry, machine learning and physics-based methods to better understand protein structure/function and to accelerate the drug discovery process from hit generation to clinical candidate selection.
We are making significant investments in AI/ML methods to support all elements of the CDD mission, and we are searching for a leader to bolster our expertise in the application of AI/ML methods for drug discovery programs. You will contribute to guiding the future direction of AI/ML in this space.
This position offers the flexibility to be based onsite in North Chicago, IL, Worcester, MA or Ludwigshafen, Germany.
Key Responsibilities:
- Responsible for contributing to the scientific and strategic incorporation of AI/ML tools into existing CDD workflows.
- Strategic Direction:
- Interface closely throughout CDD membership to identify opportunities for incorporating AI/ML strategies to enhance contributions to drug discovery pipeline.
- Collaborate with experts to leverage external innovation, manage external research collaborations.
- Make decisions based on review of available information and data.
- Manage multiple projects within the AI/ML team, enabling pipeline-driving science.
- Scientific Leadership:
- Identify, develop, optimize, validate, and deploy innovative methods for data mining, molecular generation, scoring and modeling that leverage AI/ML models and big data to enhance and apply molecular design capabilities.
- Interface with AbbVie IT infrastructure teams to ensure effective deployment of AI/ML capabilities.
Qualifications
Qualifications:
- BS, MS, or Ph.D. or equivalent in computational chemistry or related discipline, with typically 16+ years (BS), 14+ years (MS), or 8+ years (PhD) of experience.
- Managerial experience leading a scientific research team.
- Strong track record of people, technical, and research project management with significant impact.
- Strong track record of high-impact scientific achievement including a robust publication record.
- Established network with key academic and industrial opinion leaders in machine learning and physics based computational research.
- Knowledge and experience in state-of-the-art modeling, simulation and machine learning technologies / workflows as well as computing infrastructure to be able to leverage rich data collections to accelerate discovery in a fast paced and creative environment.
- Strong written and oral communication skills.
- Strong leadership skills with ability to navigate multiple stakeholders while engaging and motivating your staff.