Scientist - Cheminformatics & Machine Learning - 0057

Scientist - Cheminformatics & Machine Learning - 0057 Department: Computational Design Location: Mystic, CT USA Date: March 5, 2026 Summary At Enko we believe that to create the future the world wants, we need to change the way the world grows. Our goal is not just to create something better , but to play a part in something bigger . Enko discovers and develops safe, novel products for farmers to protect their crops from pests and disease. Key Facts Our products address a $73 billion core market focused on crop health with expansion into adjacent markets worth $300+ billion. We have $150 million in capitalization, with $80 million raised as part of a Series C Our global investors include Anterra Capital, Nufarm, the Gates Foundation, Eight Roads Ventures, Finistere Ventures, Rabo Food & Agri Innovation Fund, Novalis LifeSciences, Syngenta, Taher Gozal, Germin8 Ventures, TO Ventures Food, Endeavor8, Connecticut Innovations, Silver Blue LLC, and Alumni Ventures Group. We have initiated over 50 target programs and 5 strategic partnerships have been announced, including Syngenta and Bayer Our headquarters and research facility on the shoreline in Mystic, Connecticut has 90,000 square feet of state-of-the-art labs and computer-controlled greenhouses built for pre-field experimentation and scale. Our agricultural invention platform, Enkompass™, uses A.I. and machine learning to create more effective ways of finding and selecting the right treatments for the right targets. Led by a team of proven scientists, entrepreneurs, and industry veterans, Enko’s innovative science, agile design, and discovery of new modes of action is producing next-generation crop protection solutions that will overcome the critical challenges facing industry. The industry has taken notice, and we have active projects with many key industry players…with more to come. We are hiring across the organization to achieve our desired growth objectives, and our best asset is our team members. We value you and your career journey. We focus on impact over hours. Key Qualifications Strong analytics skills with experience analyzing and interpreting biological assay data (e.g. in vitro assays, bioassays, etc.) Highly proficient in developing repeatable and scalable analysis pipelines using Python in a professional environment; Experience with analysis tools (e.g. Numpy, Pandas etc.), machine learning tools (e.g. Scikit-Learn, Pytorch, XGBoost), and visualization tools (e.g.Matplotlib, Plotly, Seaborn, etc) Ability to learn and adapt to new software tools, with experience in computational chemistry software and open-source packages a plus (e.g. RDKit, Schrodginer Suite, etc.). Track record of successful collaboration on cross-functional teams to deliver business-relevant products. Demonstrated ability to drive projects from conception through development, testing, and deployment. Proven ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Description We are seeking a strong scientist who can apply their expertise in cheminformatics to the discovery and development of our small molecule products. The ideal candidate is passionate about collaboration within and across scientific disciplines while building rigorous, reproducible scientific workflows using Python, AWS, and other core cheminformatics and data science tools. Education Masters/PhD in a relevant scientific discipline (e.g. Chemistry, Biology, Computational Science, Statistics) with experience in application of cheminformatics and machine learning for small molecule discovery. Experience in an industry setting and experience with DNA encoded library data are desired. Apply Job applications should be sent to: View email address on click.appcast.io Thank you for your interest in working at Enko! #J-18808-Ljbffr Enko Chem, Inc.