Sr Data Scientist/Data Engineer at Nomic Foundation

<p style="min-height:1.5em"><strong>About us:</strong></p><p style="min-height:1.5em">Nomic was founded with a simple but ambitious goal: to make biology easier to measure. We’ve developed <strong>nELISA</strong>, the world’s highest throughput proteomic platform, by tackling some of the toughest challenges in protein profiling through a combination of DNA nanotechnology, high-dimensional flow cytometry, lab automation, and machine learning.</p><p style="min-height:1.5em">Since spinning out of McGill University, we’ve partnered with dozens of top-tier drug discovery groups, including 6 of the top 10 pharma companies, and have profiled over 60 million proteins from more than 400,000 samples to date.</p><p style="min-height:1.5em">Since closing a $42M Series B round, we recently scaled up the platform to meet rapidly growing demand. You can read more about this on our <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.nomic.bio/news">website here</a>. Our state-of-the-art facility is capable of profiling over 2.5 million samples a year, generating 500 million protein assays.</p><p style="min-height:1.5em">We’re a diverse team of engineers, scientists, and problem-solvers who thrive on breaking down difficult challenges using first principles thinking, and we leverage the latest scientific and technological breakthroughs to drive our mission forward.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>About the role:</strong></p><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"></p><p style="min-height:1.5em">As a senior IC on the team, you will sit at the intersection of our in-lab technology development efforts, our efforts to improve our data processing algorithms and infrastructure, and our work to develop internal tools for our scientists to more automatically visualize and analyze datasets themselves.</p><p style="min-height:1.5em"><strong>As a jack of all trades when it comes to analyzing data and building tools for others to do the same, your day to day responsibilities will include:</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Designing, building, iteratively improving, and fully automating the data pipelines and algorithms we use for processing raw flow cytometry data from our highly multiplexed bead-based assays into quantitative protein measurements. This will be done in close collaboration with your Data Engineering, Software Engineering, and Lab R&amp;D teammates.</p></li><li><p style="min-height: