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!
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.
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.
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
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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).
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