Job Description

Scientist/Sr. Scientist, Genome Engineering 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 Genome Engineer to help us pioneer this uncharted frontier of drug discovery. The Position We are seeking an experienced Genome Engineer 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. Required Qualifications: PhD in Molecular Biology, Genetics, Biochemistry, or a closely related field Minimum of 2 years post-doctoral experience in academia or the biotechnology industry Demonstrated expertise in genome editing and engineering techniques, particularly CRISPR systems and vector design for gene editing applications Experience with lentiviral library construction, high-throughput pooled screening, FACS sorting, and NGS data analysis Experience with automation tools for high-throughput screening Proficiency in molecular cloning techniques such as Gibson assembly, Gateway cloning, and PCR to design and construct vectors for gene editing applications Strong analytical skills and experience with data analysis and visualization software (e.g., R, Python, MATLAB) Knowledge of cell line engineering and generation of stable cell lines Excellent written and oral communication skills for effective team collaboration and scientific reporting Key Responsibilities in this Role: Design and perform nested PCR to amplify ORFs from genomic DNA and construct lentiviral libraries for ORFeome screening Implement high-throughput genomics assays, including pooled library construction and screening with subsequent FACS sorting Analyze sequencing data from pooled screens using advanced bioinformatics tools and statistical packages such as STAR aligner, Bowtie, and edgeR Conduct cell line generation, including the creation and maintenance of stable cell lines, and inducible systems for gene expression Optimize protocols for viral production, transduction, and titering of lentiviral particles Execute arrayed and fluorescence-based screens with proficiency in flow cytometry analysis Collaborate with interdisciplinary teams to refine screening assays and troubleshoot experimental procedures 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. Title and compensation commensurate with experience. Applications from candidates of diverse backgrounds, women, and members of underrepresented minority groups are particularly welcomed. We look forward to hearing from you. :) #J-18808-Ljbffr Tbwa Chiat/Day Inc

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