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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