Responsibilities:
- Consult with project teams and GMEC leadership to set quantitative optimization targets and assign Optimization team members to accelerate identification of low-dose small molecule candidates.
- Guide benchmarking experiments to evaluate modelsβ performance and domain of applicability.
- Communicate the rationale for selecting specific models and why they are best suited for each task.
- Lead development of internal model and workflow collections for the small-molecule portfolio, including models for binding affinity prediction and pharmacological property prediction (e.g., PK parameters).
- Partner with GMEC leadership to identify and address gaps where computational predictions are needed.
- Advance Optimization team scientific expertise and collaborate with cross-disciplinary teams (CDD and Information Research) to ensure computational capabilities are best implemented across programs.
- Provide expert advice and share knowledge with direct reports, peers, and senior management.
- Identify and integrate emerging internal/external scientific trends into functional objectives.
- Present program updates and research strategies to functional/non-functional leaders and partners.
- Maintain awareness of emerging literature and author scientific disclosures/publications.
- Maintain an external scientific presence via appropriate publications and conference abstract submissions.
Qualifications:
- BS (science) with typically >18 years related work; MS (science) with typically >16 years; or PhD (science) with typically 10+ years related work.
- Highly organized and self-directed; experience leading multiple complex simultaneous research programs.
- Extensive experience applying data science approaches to medicinal chemistry optimization.
- Extensive experience with modern computational approaches for medicinal chemistry.
- Excellent written/verbal communication and data-driven decision making; ability to explain complex ideas to non-specialists.
- Strong analytical and problem-solving skills; ability to think critically and creatively and deliver solutions collaboratively.
- Proven team leadership/management, including mentoring and developing scientific personnel.
- Highly collaborative, considerate, and strong interpersonal skills for working with diverse internal/external groups.
- Ability to create an inclusive environment and lead inclusively.
- Preferred: Served as Project Lead on a campaign resulting in candidate nomination.
- Preferred: Track record driving design across early to late-stage discovery programs with inventive contributions.
Benefits:
- Paid time off (vacation, holidays, sick)
- Medical/dental/vision insurance
- 401(k)
Application instructions: None stated in provided text.