Job Description
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As our Staff-level Bioinformatics & ML Scientist, you will elevate Nomic’s position as the leader in large-scale proteomics. Your work will set new standards for how proteomic and multi-omics data are analyzed, interpreted, and applied, helping our customers move from raw data to scientific breakthroughs. • Enable new decision-support models • Build and expand reference datasets • Share thought leadership with the broader community • Ensure customer collaborations deliver high-impact insights • Join a cross-functional team to develop analysis pipelines, ML models, and product-facing workflows • Shape the applications layer in the Nomic Portal • Support key use cases such as target discovery, perturbation analysis, and translational research • Mentor and collaborate closely with engineering, product, and data teams Qualifications • PhD (or equivalent experience) in Bioinformatics, Computational Biology, ML, or a related quantitative field • Direct experience analyzing proteomics and transcriptomics datasets • Experience working with data from target discovery, perturbation, or functional genomics workflows • 5+ years of hands-on experience building bioinformatics or ML pipelines in Python and/or R • Strong statistical and data-wrangling skills, including QC and normalization • Familiarity with reproducibility and collaborative coding practices • Experience collaborating with engineers, scientists, or product teams • Experience contributing to scientific publications or technical content • Excellent written and verbal communication skills Requirements • Comfortable staying hands-on with coding and analysis while mentoring others • Experience with customer-facing scientific work is ideal • Understanding of how pharma and biotech teams evaluate biological data is ideal Apply tot his job