Scientist/Sr. Scientist, Functional Genomics

General Proximity
San Francisco, CAPosted 7 April 2026

Tech Stack

Job Description

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 functional genomics expert to help us pioneer this uncharted frontier of drug discovery. Our Story A long-standing challenge in drug discovery is the development of molecules capable of modulating difficult or "undruggable" targets. Disease-causing proteins can be dysfunctional in many different ways, but our armamentarium for fixing them is quite limited. The most common mechanism of action for FDA-approved drugs is inhibition [1] , but there are many other possible perturbation types whose potential remains unrealized. General Proximity is a seed-stage drug discovery company developing a novel platform technology to solve this problem. We make bifunctional drugs that induce the modification of drug targets by existing cellular machinery (rather than through direct modulation by the drug, the classical approach). Historically, the development of technologies that allow one to push new buttons in biology has been an incredibly fertile field for the discovery of new medicines[ 2 , 3 , 4 ], and our technology holds the same promise. The Position We are seeking an experienced functional genomics expert to be a founding member of our Platform/Bioengineering Team . In this position, you will work in close conjunction with our Biology Team in the development of our core drug discovery technology and the generation of a completely novel class of therapeutics. Your responsibilities will include: designing and building pooled and arrayed CRISPR or ORFeome libraries for high-throughput screening, conducting functional genomics and phenotypic screens using lentiviral systems, FACS, and reporter-based assays, analyzing next-generation sequencing data from pooled screens, generating and maintaining stable or inducible cell lines for screening and validation studies, optimizing viral vector production, transduction, and titration protocols, and collaborating across disciplines to refine screening assays, troubleshoot workflows, and interpret results. 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 Molecular Biology, Genetics, Biochemistry, or related field. Industry experience is desirable, but the ability to work hard and learn fast is more important to us. Deep understanding of small-molecule drug discovery and its relationship to human disease. Demonstrable experience building and validating functional genomics platforms. Strong problem-solving skills and the ability to work independently as well as part of a team. Top-notch written and oral communication skills. Strong experience with: Genome editing and engineering, particularly CRISPR-based systems, vector design, and cell line engineering Developing and executing pooled phenotypic and functional genomics screening platforms, from library design to hit validation Designing and building pooled and arrayed CRISPR or ORFeome libraries for high-throughput screening Molecular cloning (Gibson, Gateway, PCR) and automation tools for high-throughput assays Next-generation sequencing (library prep through data analysis) Data analysis, bioinformatics, visua ... (truncated, view full listing at source)
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