Senior Advisor, Computational Chemistry and Cheminformatics (R6) Job at Lilly, San Diego, CA

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  • Lilly
  • San Diego, CA

Job Description

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. Eli Lilly and Company seeks a Senior Advisor, Computational Chemistry and Cheminformatics (R6) to utilize computational methods to drive drug discovery programs. Generate computational models to help direct drug design strategies, idea generation, and prioritization. Use advanced computational techniques to study protein motions and interactions to understand the binding of small molecules with drug targets to enable the structural design of improved new molecules. Develop and implement physics-based free energy methods to enable drug discovery project teams to identify small molecule designs with desirable binding and/or functional properties. Collaborate with multidisciplinary teams providing computational expertise to advance drug discovery projects. Perform large-scale data extraction, manipulation, and merging of multiple data sets for statistical analysis and scoring to understand structure activity relationships. #LI-DNI Position requires a Ph.D. in Computational Chemistry or a related field and 3 years of experience with using computational techniques in small molecule structure-based design. Experience must include a minimum of: 3 years of experience using computational free energy methods and enhanced sampling simulations techniques to provide novel protein conformational insights to help guide drug design efforts; 3 years of experience using quantum mechanics and molecular dynamics platforms for hypothesis creation; 3 years of experience successfully scripting in python and bash environments; and 2 years of experience with ligand conformational analysis, structure searches, docking, homology modeling, bioinformatics tools, machine learning, and advanced data analytics methods to guide drug discovery research. Up to 10% domestic and international travel required. #LI-DNI Job location: San Diego, CA. RATE OF PAY: $148,500.00 - $247,500.00 per year. To apply, please visit and enter job requisition number R-91512 when prompted. Alternatively, please send your resume, cover letter, and a copy of the ad to: Matthew Tenaglio, Lilly Corporate Center, Indianapolis, IN 46285. Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $148,500.00 - $247,500.00 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including 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; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. \#WeAreLilly

Job Tags

Full time, Flexible hours,

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