Principal Scientist, Computational Chemistry
Eikon TherapeuticsAbout the role
<div class="content-intro"><p><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">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.</span></p></div><p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><strong><span data-contrast="none">Position</span></strong><span data-ccp-props="{"201341983":2,"335559740":300}"> </span></span></p> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span data-contrast="none">We seek a Principal Scientist in Computational Chemistry with a demonstrated ability of successfully applying </span><span data-contrast="none">in silico</span><span data-contrast="none"> technologies to drive the discovery of quality lead-like molecules against hard to drug therapeutic targets. The candidate will apply AI/ML to impact library design, HTS hit identification, virtual screens, and (virtual) hit expansion efforts towards hit-to-lead across multiple projects. The role involves protein modeling, AI co-folded structure/affinity predictions, binding site/ligand-ability assessment, homology-based chemistry mining, virtual screening and purchasable compound procurement. You will daily collaborate closely with biologists, medicinal chemists, software engineers and machine learning experts. As an integral member of our growing Drug Discovery team, you will make a real and direct impact on accelerating the drug discovery process and ultimately benefiting patients.</span><span data-ccp-props="{"201341983":2,"335559740":300}"> </span></span></p> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><strong><span data-contrast="none">About You</span></strong><span data-ccp-props="
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