Data Scientist II, Molecular Biology

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    "requisitionDescription": "<div><div><div><div><p style=\"margin-left:0in;\" data-pasted=\"true\">Evozyne is an AI-native biotech company building a new way to design therapeutic proteins. Our generative AI platform was purpose-built to create entirely novel proteins that expand what&rsquo;s possible beyond traditional drug discovery. We are applying this platform to develop transformative therapies for serious diseases with significant unmet need, working at the intersection of AI, biology, and protein engineering to solve complex scientific problems that conventional approaches cannot easily address.</p><p style=\"margin-left:0in;\">Reporting to the Senior Director, Data Science, you will execute the analytical strategy for our drug discovery programs, encompassing experimental design, data synthesis, and featurization. You will partner closely with experimental scientists to understand assay design, wrangle multi-assay datasets, build decision-grade plots and summaries, and translate results for audiences from bench scientists to leadership. You&rsquo;ll incorporate the latest advances in biological assay developments and database infrastructure to streamline program analytical processes, and your work will directly support experimental decision-making and generate high-quality datasets for model training (GenAI) for the design of novel synthetic biomolecules.</p><p style=\"margin-left:0in;\"><strong>Location:&nbsp;</strong><em>Hybrid preferred (3 days per week in Chicago office); Open to remote (US-based)</em></p><p style=\"margin-left:0in;\"><strong>What You&rsquo;ll Do</strong></p><div style=\"margin-left:0in;\"><ul style=\"list-style-type: disc;margin-left: 0.25in;\"><li style=\"margin-left:0in;\">Analyze, synthesize, and catalog experimental data across various data modalities to provide insights and optimization approaches.</li><li style=\"margin-left:0in;\">Collaborate extensively with experimental scientists - asking questions, reflecting on objectives, and agreeing on success criteria before executing.</li><li style=\"margin-left:0in;\">Own the development of reproducible pipelines to synthesize high-throughput experimental results into features amenable for training deep learning models.</li><li style=\"margin-left:0in;\">Draw upon their experience in programming to maintain and update the company&rsquo;s data processing and ingestion software infrastructure.</li><li style=\"margin-left:0in;\">Deliver analyses and decision-grade visualizations that directly inform next-step experiments, assay optimization, or go/no-go decisions.&nbsp;</li></ul><p><strong>Who You Are</strong><br>You thrive in an early-stage start-up environment where you can leverage your agility and expertise to deliver high-quality results. You are galvanized by designing novel therapeutics in a rapidly evolving field with a cross-functional team of experts spanning biological disciplines. You are naturally curious and excel when working collaboratively to solve tough problems.</p></div><p style=\"margin-left:0in;\"><strong>Required Skills + Experience</strong></p><div style=\"margin-left:0in;\"><ul style=\"list-style-type: disc;margin-left: 0.25in;\"><li style=\"margin-left:0in;\">A PhD in a relevant scientific/or technical discipline with 0-2+ years relevant postdoctoral or industry experience, or a Master&#39;s degree with 4+ years of experience.</li><li style=\"margin-left:0in;\">2+ years of experience working in a cross-functional, collaborative scientific environment, such as in an academic lab, pharmaceutical company, and/or biotech.</li><li style=\"margin-left:0in;\">Extensive experience working in an experimental scientific discipline, designing and executing experiments.</li><li style=\"margin-left:0in;\">Advanced proficiency in preprocessing, analyzing, and cataloging high-throughput molecular biology or biochemistry datasets in Python.</li><li style=\"margin-left:0in;\">Familiarity in database organization and management.</li><li style=\"margin-left:0in;\">Expertise in ML and deep learning implementation, preferably in PyTorch or TensorFlow, is preferred.</li></ul></div><p style=\"margin-left:0in;\"><strong>Additional Information</strong><br>Compensation: $150,000 - $175,000&nbsp;</p><p style=\"margin-left:0in;\">Individual compensation within this range is determined by a combination of factors, including, but not limited to level, years of relevant job-related experience, and internal equity. This is what we believe in good faith is the range of possible base salary for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future.&nbsp;</p><p style=\"margin-left:0in;\">Relocation assistance is not available for this position.</p></div></div></div></div>\n",
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