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Lilly Advisor - Computational ADME Research Scientist in Indianapolis, Indiana

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 35,000 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.

At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.

Our Computational ADME (cADME) team is looking to add outstanding talent to the organization. We are an established cADME group within the multidisciplinary Drug Disposition organization. In this role you will apply in silico approaches to facilitate the extraction, sharing, and application of ADME structure-property relationship (SPR) knowledge. Integral to the position will be active engagement with project teams and innovative design of rational, hypothesis-driven experiments. Your efforts will help to increase the probability of achieving proof of concept in the clinic. This role will be instrumental in maintaining the existing in silico ADME toolbox while actively innovating and implementing new techniques.

Do you have the desire and drive to impact pharmaceutical research with your computational skills? Apply today and bring your hardworking passion for helping patients to the Lilly family!

Job Responsibilities

  • Independently research, develop and apply cheminformatics tools to design and guide in vitro/in vivo experiments for optimal gain of scientific, decision-level knowledge.

  • Serve as a liaison to colleagues in Discovery Informatics and Computational Chemistry for seamless integration of ADME tools across the discovery research organization.

  • Conduct concerted data analysis to understand the connectivity across in silico, in vitro, and in vivo ADME data for project teams.

  • Share and effectively communicate computational perspective within project teams to design appropriate experiments and facilitate a multi-property optimization strategy.

  • Use physiologically based pharmacokinetics (PBPK) principles for preclinical and clinical PK prediction to effectively and successfully drive projects.

Basic Requirements

  • Ph.D. in computational chemistry, cheminformatics, statistics, computational biology or a related field.

  • Experience in developing and applying cheminformatics tools for application in drug discovery preferred.

Additional Preferences

  • Demonstrated experience/results working in interdisciplinary teams.

  • Solid understanding of organic/medicinal chemistry

  • Knowledgeable of principles of drug metabolism and/or pharmacokinetics

  • Proficient in scripting/programming in one or more of the following languages: Python, JAVA, C/C++, R, Matlab

  • Experience in applying advanced machine learning and statistical methodologies including QSAR for large scale data mining and modeling

  • Familiarity in working with web based applications, databases and automated workflow tools such as Knime

  • Proficiency in visualizing multi-dimensional scientific data using tools like Spotfire

  • Strong communication skills and ability to influence without authority

Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively “Lilly”) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( LillyRecruitingCompliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. Any other correspondence will not receive a response.

Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, 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 help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women’s Network, Working and Living with Disabilities. Learn more about all of our groups.

As a condition of employment with Eli Lilly and Company and its subsidiaries in the United States and Puerto Rico, you must be fully COVID-19 vaccinated and provide proof of vaccination satisfactory to the company (subject to applicable law).

#WeAreLilly

At Lilly we strive to ensure our employees are part of a team that cares about them and our shared purpose of making life better for those around the world. How do we do this? We continue to look for ways to include, innovate, accelerate and deliver while maintaining integrity, excellence and respect for people.​ We hope that you seek to join us on our journey as we create medicine and deliver improved outcomes for patients across the globe!

#WeAreLilly

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