Principal Scientist, Computational Chemistry

Principal Scientist, Computational Chemistry Millbrae, CA Eikon Therapeutics is a new biopharmaceutical company employing revolutionary technology at the intersection of chemistry, engineering, computation, and biology to discover novel treatments for life-threatening diseases. Eikon’s discovery platform is built on groundbreaking innovations from its founders (Nobel Prize, 2014), culminating in the creation of microscopes which enable real time, molecular-resolution measurements of protein movement in living cells, thereby unlocking otherwise intractable classes of proteins as drug targets. Position We seek a Principal ScientisinComputational Chemistrywith a demonstrated abilityofsuccessfullyapplying insilico technologies to drive the discovery of quality lead-like molecules against hard to drug therapeutic targets. Thecandidatewillapply AI/ML to impact library design,HTShit identification, virtual screens,and (virtual) hit expansion efforts towardshit-to-leadacross multipleprojects. Therole involvesprotein modeling,AIco-foldedstructure/affinitypredictions,binding site/ligand-ability assessment, homology-based chemistry mining, virtualscreeningandpurchasablecompound procurement. Youwilldailycollaborateclosely with biologists, medicinal chemists, softwareengineersand machine learning experts. As an integral member of our growing Drug Discovery team,you willmake a real and direct impact on accelerating the drug discovery process andultimately benefitingpatients. About You You’rea computational chemistry/cheminformaticsexpert who loves to solve difficult problems andarenot discouraged by challenges. You have a passion for drug discovery and thrive in a fast-paced, dynamic environment. You are curious, love challenges, and enjoy pushing the edge of technology to solve important problems with creative solutions. You’recollaborative by nature, resourceful, open-minded, data-driven, and canoperatewith a sense of urgency. What You’ll Do Deliver virtual screening workflows that leverage physics- and AI-based modeling methods involving ligand- and structure-based methods, ensemble docking, molecular dynamics, and free energy calculations Provide computational chemistry program support across our drug discovery pipeline spanning target selection, HTS, hit identification/calling, hit to lead, and lead optimization Provide guidance on the application of modern cheminformatics, ML/AI methods for library design (e.g. diversity, focused, fragment, DEL) and analyzing large datasets from HTS campaigns to building predictive models from them Routinely employ expert knowledge and analysis of SAR, physiochemical and ADMET properties Work alongside medicinal chemists to further triage emerging hits for synthesis/purchase Collaborate closely with our data science team to integrate cutting edge AI/ML tools into our chemistry and drug discovery processes Qualifications PhD in Computational Chemistry orrelated disciplinewith+10years of relevant experience; orMaster'splus 18years of relevant experience; or Bachelor's plus20years of relevant experience Expertise in virtual screening, HTS triaging, hit calling, and diversity analysis Expertise in computational chemistry software, such as Schrödinger Suite, Rosetta, AlphaFold, Gromacs, or similar tools Expertise with physics-based methods, molecular dynamics, conformational analysis, free energy perturbation, and quantum mechanics Expertise in cheminformatics data analysis, data mining and machine learning models to solve drug discovery problems Experience with ligand-based design approaches, QSAR, QSPR, multiparameter optimization to rationalize SAR and design novel molecules A track record of publications, patents and/or conference presentations in computational chemistry and/or drug discovery Proficient in scientific programming (e.g. python, KNIME) and data analytics (Spotfire, DataWarrior, Pandas) Excellent problem-solving abilities and the ability to work in a fast-paced, dynamic research environment Strong communication skills with the ability to convey complex scientific concepts to both technical and non-technical stakeholders At Eikon, employee compensation also includes bonus and equity compensation, in addition to several generous benefit programs, including: 401k plan with company matching Medical (premiums covered by Eikon at 95%), dental and vision insurance (premiums covered by Eikon at 100%) Mental health and wellness benefits Weeklong summer and winter holiday shutdowns Generous paid time off and holiday policies Life/AD&D Insurance (premiums covered by Eikon at 100%) and optional supplemental employee-paid life/AD&D policies Enhanced parental leave benefit Daily subsidized lunch program when on-site The expected salary range for this role is $204,000 to $223,250 depending on skills, competency, and the market demand for your expertise. Eikon is proud to be an equal opportunity employer and will consider all qualified applicants for employment. #J-18808-Ljbffr