<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>Position</strong></span></p> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">We are seeking a Scientist in Computational Biology to drive diverse early drug discovery efforts across Eikon's target portfolio. In this key role, the successful applicant will serve as the subject matter expert for analyzing high-dimensional data, including bulk and single-cell transcriptomic datasets, and will use rigorous analytical skills in close collaboration with diverse discovery scientists to conceive, design, and evaluate complex, progress-enabling experiments across our target portfolio. This person will perform reproducible analyses across transcriptomic, genomic, and other high-dimensional datasets, adapting methods as appropriate to fit each scientific question, and will build and extend internal computational tools and workflows while overseeing external analysis efforts as needed.</span></p> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><strong>About You</strong></span></p> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">You are an experienced, rigorous, and results-driven computational scientist with the ability to deliver high-impact contributions that advance early drug discovery programs. You are a generous and enthusiastic collaborator, skilled in both established and emerging drug discovery technologies, and comfortable operating in a fast-paced, cross-functional environment that brings together diverse disciplines and subject matter experts.</span></p> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">You are a curious, detail-oriented, strategic thinker who draws deep technical and biological knowledge to synthesize data from diverse internal and external sources to resolve nuanced scientific questions. You will bring hands-on expertise in analyzing high-dimensional datasets - including bulk and single-cell/single-nucleus transcriptomic data - and are adept at building, adapting, and maintaining computational pipelines and workflows.</span></p> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><strong>What You’ll Do</strong></span></p> <ul> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Acts as the go-to expert for analyzing high-dimensional datasets, such as bulk and single-cell/single-nucleus transcriptomic data.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Partners closely with scientists throughout Discovery to design, execute, and interpret in vitro and in vivo studies that advance projects across the portfolio.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Conducts rigorous and reproducible analyses spanning transcriptomic, genomic, and other complex datasets, tailoring analytical methods to the scientific question at hand.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Builds and enhances internal computational tools and pipelines, while overseeing external analytical partnerships when needed.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Follows sound practices in code and data management - including version control and workflow orchestration - and proactively suggests process improvements.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Contributes to the preparation of scientific publications and presentations showcasing the impact of complex data analysis on advancing scientific knowledge.</span></li> </ul> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><strong>Qualifications</strong></span></p> <ul> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">PhD in bioinformatics, computational biology, or a related quantitative field.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Proven experience analyzing complex biological datasets across one or more technical modalities, such as bulk, single-cell, or spatial transcriptomics, ChIPseq, ATACseq, CRISPR screens, high throughput proteomics, etc