Senior Data Scientist, Biology

<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>&nbsp;</span></p> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">We are seeking an accomplished and forward-thinking Senior Data Science, Biology to join our dynamic team. As a Senior Data Science, Biology, you will lead the analysis and interpretation of complex biological data, leveraging advanced computational techniques to drive critical insights for our biotech research and development initiatives.&nbsp;</span></p> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><strong>About You&nbsp;</strong>&nbsp;</span></p> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">The ideal candidate is passionate about harnessing the latest advances in AI including large language models (LLMs), multi-agent systems, and retrieval-augmented generation (RAG) to unlock insights from biological data. They bring deep proficiency in Python and a track record of building agentic workflows that automate complex, multi-step analytical tasks. They have extensive experience with genomics, transcriptomics, proteomics, and multi-omics data, and are excited to apply modern AI paradigms to these domains. Their strong foundation in bioinformatics is complemented by hands-on experience with AI frameworks and tools, allowing them to bridge the gap between biological science and cutting-edge AI engineering.</span></p> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><strong>What You’ll Do</strong>&nbsp;</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;">Lead and collaborate with interdisciplinary teams to analyze and interpret diverse biological data sets, including genomics, proteomics, and multi-omics data.</span></li> <li style="font-family: arial, helvetica, sans-serif; font