Positionย
We seek a Principal Scientistย inย Computational Chemistryย with a demonstrated abilityย ofย successfullyย applyingย inย silicoย technologies to drive the discovery of quality lead-like molecules against hard to drug therapeutic targets.ย Theย candidateย willย apply AI/ML to impact library design,ย HTSย hit identification, virtual screens,ย and (virtual) hit expansion efforts towardsย hit-to-leadย across multipleย projects.ย Theย role involvesย protein modeling,ย AIย co-foldedย structure/affinityย predictions,ย binding site/ligand-ability assessment, homology-based chemistry mining, virtualย screeningย andย purchasableย compound procurement.ย Youย willย dailyย collaborateย closely with biologists, medicinal chemists, softwareย engineersย and machine learning experts. As an integral member of our growing Drug Discovery team,ย you willย make a real and direct impact on accelerating the drug discovery process andย ultimately benefitingย patients.ย
About Youย
You'reย a computational chemistry/cheminformaticsย expert who loves to solve difficult problems andย areย not 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.ย You'reย collaborative by nature, resourceful, open-minded, data-driven, and canย operateย with a sense of urgency.ย
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Whatย You'llย Doย
- 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
Qualificationsย
- PhD in Computational Chemistry orย related disciplineย withย +10ย years of relevant experience; orย Master'sย plus 18ย years of relevant experience; or Bachelor's plusย 20ย years of relevant experience
- Expertise in virtual screening, HTS triaging, hit calling, and diversity analysis
- Expertise in computational chemistry software, such as Schrodinger 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 stakeholdersย
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.