Eli Lilly and Company
Sr. Director/Exec. Director of Cheminformatics for Early Molecule Discovery
Eli Lilly and Company, Indianapolis, Indiana, us, 46262
Overview
Sr. Director/Exec. Director of Cheminformatics for Early Molecule Discovery Pay found in job post Base pay range $181,500.00/yr - $294,800.00/yr 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. Responsibilities
“Lead from the bench” by judiciously building up and applying state of the art cheminformatics, ML/AI, and advanced analyses capabilities, to enable library design, hit identification, prioritization and hit-to-lead progression across multiple target classes and modalities. Provide scientific leadership and strategic guidance on cheminformatics and applied ML/AI approaches to drive data driven drug discovery. Encourage close collaborations and initiatives with computational colleagues, medicinal chemists and other cross function partners that culminate in the generation of well poised screening collections, quality models and testable hypotheses, enhancing our ability to deliver differentiated quality hits and leads. Ensure team success by providing guidance on the application of modern cheminformatics, ML/AI methods for: library design (e.g. diversity, focused, bridging, fragment, DEL collections); analyzing large datasets (e.g. from HTS campaigns or omics data sets) and building predictive (active learning) models from them; data mining internal and external data-sets/bases; enabling hit prioritization and expansion efforts; guiding ligand-/fragment-based design activities. Provide cheminformatics insight for new target identification and evaluation initiatives in the early space across a range of targets and binding mode types. Proactively investigate new technologies that have the potential to accelerate EMD’s ability to prosecute challenging targets and deliver quality differentiated leads. The candidate will also cultivate cross pillar collaborations with new technology, and Tech@Lilly colleagues to help guide and subsequently leverage transformative hit identification and hit-to-lead approaches. Developsynthon-basedsearchstrategies to allow teams toleverageever increasing virtual spaces without having to rely on brute force searches of fully enumerated spaces. Ensure the timely delivery of quality data, rigorous analyses and robust models to project teams to accelerate hit identification and chemical series evaluation/evolution efforts. To be adept at communicating results, and setting team as well as larger organizational goals and expectations. Engage with external teams upon the identification and elaboration of early lead molecules across multiple projects and mechanisms. Basic Requirements
PhD in Cheminformatics, Computational Chemistry, or related field with 7+ years relevant research and/or industrial experience. Track record of successfully applying and developing cheminformatics workflows and tools that accelerate hit finding, hit expansion, lead generation and library design efforts. Expertise in data analytics, ML/AI modelling in the context of cheminformatics and a solid grasp of statistical principles. Ability to create, sustain and model a culture of innovation, collaboration and dedication. Strong scientific programming skills (Python essential) and experience building data visualizations and dashboards (e.g., in Spotfire). Demonstrated growth mindset, whilst maintaining close collaboration among computational chemistry leaders, elevating the global computational chemistry team as a whole. Aptitude for building inclusive teams and commitment to mentoring early career computational chemists. Demonstrated ability to identify and effectively champion new technologies culminating in successful drug discovery applications thereof. Proactive in establishing and driving effective collaborations with medicinal chemists and scientists form other disciplines to achieve project goals and timelines. Ability to communicate effectively with team members, cross-functional colleagues and senior leadership. Demonstrated ability to inspire and lead scientists to work across teams, functions and sites to achieve aspirational goals that accelerate portfolio deliveries. Additional Preferences
Excellent understanding of the phases of drug discovery from target assessment through to candidate selection and the fundamental concepts of drug design, medicinal chemistry and ADME. Good appreciation of computational chemistry and organic chemistry. Familiarity with Large Language Models (LLMs). Experience using synthons and transformations to generate and interrogate virtual spaces. Demonstrated experience in working collaboratively across various disciplines to meet project goals and timelines. Agile and ready to change research priorities as necessary for success. Ability to work independently and as an integral part of a larger collaborative team. Highly organized with excellent analytical, documentation, time management, and multi-tasking skills. Views personal success as a consequence of the team’s success. Self-accountable for the timely delivery of progressable hits and eventual leads for uptake within the larger small molecule discovery organization. Self-driven, hardworking, lab first, data dependent decision maker. Excellent communication of goals and priorities across computational chemistry teams. Additional Information
Physical Demands/Travel: The physical demands of this job are consistent with a lab environment. The work environment is in a Laboratory. There will be some travel associated with this role. 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 at the Lilly careers site for further assistance. 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. Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $181,500 - $294,800. Full-time equivalent employees also will be eligible for a company bonus and a comprehensive benefits program. Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs. #WeAreLilly
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Sr. Director/Exec. Director of Cheminformatics for Early Molecule Discovery Pay found in job post Base pay range $181,500.00/yr - $294,800.00/yr 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. Responsibilities
“Lead from the bench” by judiciously building up and applying state of the art cheminformatics, ML/AI, and advanced analyses capabilities, to enable library design, hit identification, prioritization and hit-to-lead progression across multiple target classes and modalities. Provide scientific leadership and strategic guidance on cheminformatics and applied ML/AI approaches to drive data driven drug discovery. Encourage close collaborations and initiatives with computational colleagues, medicinal chemists and other cross function partners that culminate in the generation of well poised screening collections, quality models and testable hypotheses, enhancing our ability to deliver differentiated quality hits and leads. Ensure team success by providing guidance on the application of modern cheminformatics, ML/AI methods for: library design (e.g. diversity, focused, bridging, fragment, DEL collections); analyzing large datasets (e.g. from HTS campaigns or omics data sets) and building predictive (active learning) models from them; data mining internal and external data-sets/bases; enabling hit prioritization and expansion efforts; guiding ligand-/fragment-based design activities. Provide cheminformatics insight for new target identification and evaluation initiatives in the early space across a range of targets and binding mode types. Proactively investigate new technologies that have the potential to accelerate EMD’s ability to prosecute challenging targets and deliver quality differentiated leads. The candidate will also cultivate cross pillar collaborations with new technology, and Tech@Lilly colleagues to help guide and subsequently leverage transformative hit identification and hit-to-lead approaches. Developsynthon-basedsearchstrategies to allow teams toleverageever increasing virtual spaces without having to rely on brute force searches of fully enumerated spaces. Ensure the timely delivery of quality data, rigorous analyses and robust models to project teams to accelerate hit identification and chemical series evaluation/evolution efforts. To be adept at communicating results, and setting team as well as larger organizational goals and expectations. Engage with external teams upon the identification and elaboration of early lead molecules across multiple projects and mechanisms. Basic Requirements
PhD in Cheminformatics, Computational Chemistry, or related field with 7+ years relevant research and/or industrial experience. Track record of successfully applying and developing cheminformatics workflows and tools that accelerate hit finding, hit expansion, lead generation and library design efforts. Expertise in data analytics, ML/AI modelling in the context of cheminformatics and a solid grasp of statistical principles. Ability to create, sustain and model a culture of innovation, collaboration and dedication. Strong scientific programming skills (Python essential) and experience building data visualizations and dashboards (e.g., in Spotfire). Demonstrated growth mindset, whilst maintaining close collaboration among computational chemistry leaders, elevating the global computational chemistry team as a whole. Aptitude for building inclusive teams and commitment to mentoring early career computational chemists. Demonstrated ability to identify and effectively champion new technologies culminating in successful drug discovery applications thereof. Proactive in establishing and driving effective collaborations with medicinal chemists and scientists form other disciplines to achieve project goals and timelines. Ability to communicate effectively with team members, cross-functional colleagues and senior leadership. Demonstrated ability to inspire and lead scientists to work across teams, functions and sites to achieve aspirational goals that accelerate portfolio deliveries. Additional Preferences
Excellent understanding of the phases of drug discovery from target assessment through to candidate selection and the fundamental concepts of drug design, medicinal chemistry and ADME. Good appreciation of computational chemistry and organic chemistry. Familiarity with Large Language Models (LLMs). Experience using synthons and transformations to generate and interrogate virtual spaces. Demonstrated experience in working collaboratively across various disciplines to meet project goals and timelines. Agile and ready to change research priorities as necessary for success. Ability to work independently and as an integral part of a larger collaborative team. Highly organized with excellent analytical, documentation, time management, and multi-tasking skills. Views personal success as a consequence of the team’s success. Self-accountable for the timely delivery of progressable hits and eventual leads for uptake within the larger small molecule discovery organization. Self-driven, hardworking, lab first, data dependent decision maker. Excellent communication of goals and priorities across computational chemistry teams. Additional Information
Physical Demands/Travel: The physical demands of this job are consistent with a lab environment. The work environment is in a Laboratory. There will be some travel associated with this role. 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 at the Lilly careers site for further assistance. 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. Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $181,500 - $294,800. Full-time equivalent employees also will be eligible for a company bonus and a comprehensive benefits program. Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs. #WeAreLilly
#J-18808-Ljbffr