Lilly Principal Research Scientist - Computational Chemistry - Technical in Alcobendas, Spain
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.
Eli Lilly and Company is a global organization comprised of over 35,000 employees united around the common purpose of bettering human health and improving people’s lives. Since its inception in 1876, Lilly has always striven to be at the forefront of science with those goals in mind. To that end, Lilly consistently invests heavily in research and development, allocating over $7 billion annually and nearly a quarter of its workforce to discovery efforts. As part of our unwavering commitment to cutting-edge R&D, Lilly is building a world-class computational organization to revolutionize how medicines are invented.
The Discovery Chemistry Research and Technologies (DCRT) organization within Lilly Research Labs is a small molecule drug discovery organization with responsibilities spanning from target identification to candidate selection for clinical studies. We are looking to grow our diverse team of scientists. The Computational Chemistry and Cheminformatics (C3) group in DCRT is seeking multiple drug hunting experts with experience applying artificial intelligence (AI), machine learning (ML), data analytics and/or cheminformatics to advance small molecule drug discovery projects.
Some key responsibilities:
Lead by example in the application of in silico technologies to small molecule drug discovery programs.
Champion and promote the use of cheminformatics, data analytics and AI/ML methods to expedite the Design-Make-Test-Analyze discovery cycle.
Algorithm/workflow development, deployment and application in a global, multi-site Linux environment including cloud computing.
Implement scripts and/or visual programming workflows to automate data and compute intensive in silico design tasks.
Work cross-functionally with colleagues in Medicinal Chemistry, Structural Biology, Pharmacology, ADME/Tox, IT and other functions within interdisciplinary drug discovery teams.
Identify and assess emerging computational methodologies and contribute to the scientific development direction for the group.
Ph.D. in Cheminformatics, Computational Chemistry, Computer Science, Bioinformatics or related field plus 5+ years of relevant drug hunting experience in a biotech or pharma setting
Demonstrated impactful contributions to small-molecule drug discovery programs as exemplified by authorship on peer-reviewed publications and/or inventorship on patents/patent applications
Expertise in applying artificial intelligence and/or machine learning in the context of small-molecule drug discovery programs
Experience with AI/ML toolkits such as PyTorch and Tensor Flow
Expertise in cheminformatic data analysis and large-scale data handling
Hands on experience in use of issue tracking tools, source control, and build management.
High-level proficiency in scripting or programming languages such as Python, C++ Strong oral and written communication skills, organizational and leadership capabilities.
Ability to work in a Linux/Unix enterprise environment
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