技能/経験

DIMENSIONS AND ASPECTS

Technical/Functional (Line) Expertise

Expertise in a variety of computational tools and methodology including generative chemistry, large-scale virtual screening, molecular dynamics, homology modeling, quantum mechanics, pharmacophore elucidation, data mining, machine learning, cheminformatics and more.

Significant industry experiences contributing as a computational chemist on drug discovery projects against several therapeutic arias and a variety of drug discovery targets (GPCRs, Kinases, Ion channel etc.).

Strong impact in progressing discovery projects from hits to clinical leads

Familiarity with organic and synthetic chemistry concepts.

Provide project teams with computational strategies to inform, influence, and prioritize designs for potency/selectivity and improve ADME/Tox endpoints.

Ability to effectively integrate emerging generative chemistry methods and other modern machine learning and artificial intelligence (AI) applications in small molecule drug discovery.

Proficiency with state-of-the-art Computational Chemistry software.



Leadership

Scientific leadership within project teams

Mentors junior scientists

Contributes to method development and innovation

Influences direction across teams and functions

Drives innovation and capability building at scale



Interaction

Collaborate with cross-functional global teams

Present findings to internal stakeholders

Engage with senior leadership and external partners as needed



EDUCATION, BEHAVIORAL COMPETENCIES AND SKILLS:

PhD degree in Chemistry or equivalent

Ideally 5+ years of experience in industry (pharma/biotech) drug discovery experience required