Part Time Consultant, Computational Chemistry

tl;dr General Proximity is a seed-stage startup developing the next generation of induced proximity medicines (IPMs). Our OmniTAC drug discovery engine furnishes molecules that co-opt existing cellular machinery to overcome therapeutic challenges, which have remained unapproachable to other modalities for decades. We are seeking a first-rate computational chemist, with previous experience developing PROTACs or related IPMs, to help us pioneer this uncharted frontier of drug discovery. The Position We are seeking an experienced computational chemist to be a founding member of our Chemistry/Drug Discovery Team. In this position you will work in close conjunction with our Medicinal Chemistry Team in the design and optimization of a completely novel class of therapeutics. Your responsibilities will include: Spearheading the modeling and informatics initiatives on team projects Strategically applying computational methodologies throughout all stages of the drug discovery process Predicting binding modes and ternary complexes Analyzing crystal structure data Designing and optimizing first-in-class bifunctional molecules Collaborating with our Drug Discovery and IP team on patent applications Spearheading forays into new disease areas About You High Agency. Initiative, independence, and self-accountability are some of our most valued traits. Enthusiastic. We love people who are excited about what they are doing and are generally attempting to build a high-energy team. Intensity and Grit. Early-stage startups are hard. Drug discovery is doubly so. We are looking for candidates who have a demonstrated ability to stick with complex problems for the long haul, with a team that has your back along the way. Prosocial. We are here to create life-saving medicines for the patients who need it most. You should be, too. Qualifications & Nice-To-Haves PhD in Computational Chemistry, Medicinal Chemistry, Chemical Biology, Pharmacology, or related field 5-10+ years of industry experience Deep understanding of small-molecule drug discovery and its relationship to human disease: Expertise in creating homology models, prediction of protein-protein interaction interfaces, and docking of small molecules including molecular glues or bifunctional molecules (e.g. PROTACs or other IPMs) Experience with lead identification and lead optimization of diverse therapeutic modalities Programming/scripting proficiency in Python, including experience manipulating large datasets Evidence of creative application of computational chemistry approaches to problems of biological interest, demonstrated through multiple publications and external presentations Experience predicting binding modes of ternary complexes About Us Work Hard/Play Hard. We believe time is our most valuable commodity, so we strive to create a culture that reflects this. We won't drag you through unnecessary meetings or email you at 7 PM on a Saturday. When we're at work, we're there to get things done, and when we're off, we're really off. Strong Communication. We like well-written documents over PowerPoints, OKRs over vague mission statements, and weekly one-on-ones over yearly reviews. Writing First. We have a "writing-first" culture. We believe that clarity of writing reflects clarity of thinking and that the benefits of well-written documentation in a scientific environment are innumerable: democratization of ideation and decision-making, increased reproducibility, quicker scaling and onboarding, and better company-wide alignment, to name a few. Growth. As an early-stage startup, we value scientists with an independent, can-do attitude. The more hats you can wear, the better. Our job as employers is to put you in positive feedback loops so you can grow in the direction of your choosing. #J-18808-Ljbffr

Created: 2025-02-01