Hybrid Lead Advisor – Scientific, Computational Chemistry, Advanced Molecular Design

at Eli Lilly and Company

• Job title: Lead Advisor – Scientific, Computational Chemistry, Advanced Molecular Design
• Job type: Full Time
• Experience level: Senior
• Salary: $138,000 - $224,400 per year
• Degree requirement: Postgraduate Degree
• Location requirements: Hybrid, San Francisco, United States

About the role

• Scientist applying computational chemistry tools for lead optimization in drug discovery at Lilly. Collaborating closely with medicinal chemistry and structural biology for breakthrough therapeutics.

Responsibilities

• Structure-based design efforts for the lead/late-stage optimization of small molecule therapeutics across a range of therapeutic areas
• Play a key role in prioritizing medicinal chemistry efforts through critical analysis and effective decision-making leading to highly focused work and rapid progress
• Ensure the timely delivery of data and results to project teams to enable rapid iterative design cycles
• Maintain critical timelines and set team expectations for efficient delivery of clinical candidates
• Work closely with other discovery scientists to move our portfolio of molecules from leads to quality drug candidates that have a strong potential to become breakthrough drugs

Requirements

• PhD with 0 to 5 years of Drug Discovery research experience
• A scientific background in computational chemistry and related technology applied to guide compound optimization for medicinal chemists
• Proactive and effective collaboration with medicinal chemistry, structural biology, and other disciplines to achieve project goals and timelines
• Strong core desire to help patients in need
• Deep-thinking that leads to creative hypotheses for the optimization of lead series across multiple projects
• A strong desire to establish a deeper understanding of all aspects of drug discovery, including small molecule-protein interactions, ADME, and toxicological considerations
• A desire to continually stay up to date with the latest industry developments and novel techniques employed in discovery including AI and machine learning models
• Knowledge of lead optimization using structure-based design and other aspects of computational chemistry
• Agility and adaptability to change research priorities as necessary for success

Benefits

• eligibility to participate in a company-sponsored 401(k)
• pension
• vacation benefits
• eligibility for medical, dental, vision and prescription drug benefits
• flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts)
• life insurance and death benefits
• certain time off and leave of absence benefits
• well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)