Data Analyst at Nomic Foundation

<h2><strong>About us</strong></h2><p style="min-height:1.5em">Nomic was founded to make biology easier to measure—and to enable scientists to extend lives by making proteomics accessible, scalable, and routine. Our story began at McGill University, where our co-founders and early team developed breakthrough technology that would change the way proteins are measured.</p><p style="min-height:1.5em">Today, Nomic is powered by our proprietary nELISA® platform—an end-to-end technology that delivers high-throughput, quantitative, and affordable protein data at unprecedented scale. With the launch of Omni 1000, we are making the $50 proteome a reality, breaking down barriers that have limited the field for decades. For the first time, large-scale, quantitative proteomics is accessible to any scientist, supporting everything from drug discovery and translational research to AI-enabled therapeutic development.</p><p style="min-height:1.5em">Since our launch, we’ve partnered with leaders in pharma, biotech, and academia—including GlaxoSmithKline and the Broad Institute—and have profiled more than 500,000 samples across diverse applications. Our growth is fueled by over $60 million in investment from top-tier backers, including our recent $42 million Series B.</p><p style="min-height:1.5em">We’re building a team of world-changers—scientists, engineers, and problem-solvers who believe that accessible proteomics can help shape the future of medicine. Nomic is headquartered in Montreal, Canada with a satellite research lab in Boston, Massachusetts. If you want your work to have real impact, we’d love to meet you.</p><p style="min-height:1.5em"></p><h2><strong>About the role:</strong></h2><p style="min-height:1.5em">The Data team at Nomic is responsible for designing, building, operating and improving the data pipelines, data infrastructure, and data tools needed for analyzing nELISA data at scale. Our development roadmap includes building more robust data pipelines for decoding nELISA datasets, and developing improved internal-facing tools that will let our scientists execute faster in the lab by extracting insights from our nELISA profiling and manufacturing QC data on-demand.</p><p style="min-height:1.5em">As a Data Analyst, you will be responsible for using Nomic's data analysis pipelines and tools to transform our raw readout data into quantified proteins in the context of our protein profiling business operations. You will be a critical link in the chain stretching from our customer's samples, through our profiling lab, and getting our customer's data back into their hands.</p><p style="min-height:1.5em">As part of this role, you will be expected to troubleshoot any issues that may occur. This can involve identifying and implementing bug fixes within our pipeline or process, finding possible signs of irregularities in our process or samples, and investigation and root cause analysis on any QC failures. We also plan to have sufficient operational slack to