Scientist, Cheminformatics

<p><strong>COMPANY</strong></p> <p>Octant is a clinical-stage drug discovery company developing correctors for protein misfolding diseases with active programs in rare diseases and oncology. Octant’s platform, The Navigator, combines high-throughput synthetic biology, generative chemistry, and AI/ML to discover and develop therapeutics against complex cellular mechanisms in human cells.</p> <p>&nbsp;</p> <p><strong>JOB DESCRIPTION</strong></p> <p>We are seeking a scientist with cheminformatics expertise to join our dynamic and multidisciplinary research team. A core focus of your role will be to guide assay development and evaluate the resulting data using chemical reasoning, expanding the capabilities of the Octant Navigator platform. You will begin with our OpenADMET effort, turning high-throughput ADMET datasets into chemical insight that serves both Octant's drug programs and the open science community, and broaden into internal platform work over your first year.</p> <p>You will apply chemical intuition and statistical rigor to every stage of the work, from assay development to compound selection to analysis at scale. You are motivated by the mission of Octant and have a team-first mindset. You bring excellent communication skills and an ability to thrive in a dynamic and fast-paced environment.</p> <p>&nbsp;</p> <p><strong>IN THIS ROLE, YOU WILL:</strong></p> <ul> <li>Partner with analytical chemists and biologists to develop high-throughput ADMET assays, applying chemical reasoning to assess data quality and validity</li> <li>Develop the experimental designs and analyses that turn those assays into robust, quantitative DMPK measurements that scale to hundreds of thousands of compounds</li> <li>Guide compound and building-block selection connecting our <a href="https://www.octant.bio/blog-posts/miniaturizing-drug-discovery-using-high-throughput-chemistry">in-house high throughput synthesis</a> capabilities to ADMET assays and OpenADMET's public competitions, balancing scientific value with experimental feasibility</li> <li>Develop and contribute to the data and computational infrastructure needed to process assay results at scale, enabling scientists to access and analyze their own data in consistent, statistically sound ways</li> <li>Collaborate with drug discovery scientists to translate OpenADMET capabilities into platform tools that benefit Octant’s program teams, and help shape and prioritize assay and tool development</li> <li>Refine our chemistry platform and deliver increasingly valuable data to program teams, helping realize our vision for high-throughput chemical learning and SAR</li> <li>Work hand-in-hand with machine learning scientists, software engineers, biologists, chemists,