Data Scientist Jobs in San Francisco, USA

Staff Data Scientist, GTM at Airwallex. Apply via Ashby.

Staff Data Scientist, Growth Analytics at Airwallex. Apply via Ashby.

Senior Data Scientist, GTM at Airwallex. Apply via Ashby.

Senior Data Scientist, Growth Analytics at Airwallex. Apply via Ashby.

Data Scientist, GTM at Airwallex. Apply via Ashby.

Senior Data Scientist at Probablygenetic. Apply via Ashby.

Data Scientist at Koahlabs. Apply via Ashby.

Senior ML Data Scientist, Analytics at Laurel. Apply via Ashby.

<p><span style="font-family: helvetica, arial, sans-serif;">At Atomic AI, we build artificial intelligence to pioneer new frontiers in drug discovery. Our unique R&D platform, an early version of which was featured on the <a href="https://www.science.org/doi/abs/10.1126/science.abe5650">cover of Science</a>, provides new strategies to treat previously undruggable diseases by targeting RNA. We continue to advance this platform by developing new machine learning methods and <a href="https://www.biorxiv.org/content/10.1101/2023.12.13.571579v1">unique foundation models</a> fueled by our large-scale, in-house experimental data collection. We are an interdisciplinary team of scientists and engineers and believe our people are our greatest strength and the key to our success.<br><br></span></p> <p><span style="font-family: helvetica, arial, sans-serif;"><strong>The opportunity</strong></span></p> <p><span style="font-family: helvetica, arial, sans-serif;">As a full-time Data Scientist on the Machine Learning team, you will work closely with scientists and engineers to apply and advance our technology platform for RNA structure prediction, target identification, and early-stage drug discovery. You will lead the curation of RNA-focused datasets for ML training and validation, discover statistical patterns in our large-scale datasets evaluating RNA structure and RNA-small molecule interactions, and devise and implement new strategies to test the accuracy of our ML models. Your analysis will guide the development of improved ML models and the targeted acquisition of new experimental data.</span></p> <p><span style="font-family: helvetica, arial, sans-serif;">This is a hybrid position with three days in-person at our South San Francisco office.<br><br></span></p> <p><span style="font-family: helvetica, arial, sans-serif;"><strong>Responsibilities:</strong></span></p> <ul> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Provide RNA biology and RNA structure expertise on the ML team.</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Enable and apply our RNA-structure platform to prioritize RNA targets for small-molecule therapies and advance structure-based drug discovery.</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Generate insights from datasets on RNA structures and small molecule interactions (e.g. chemical probing, RNA-SM screens) by conducting