Sr. Bioinformatics & ML Scientist

nomic

12d

About The Position

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. By enabling new decision-support models, building and expanding our reference datasets, and sharing thought leadership with the broader community, you will help define what’s possible for the field and accelerate discoveries across drug development and biomarker research. You will also ensure Nomic’s customer collaborations deliver high-impact insights and become the gold standard for industry and academia. You will join a cross-functional team and build on existing infrastructure to develop the analysis pipelines, ML models, and product-facing workflows that make proteomic data actionable for customers. Your work will shape the applications layer in the Nomic Portal and support key use cases such as target discovery, perturbation analysis, and translational research. This is a player-coach position, you will mentor and collaborate closely with our engineering, product and data teams as our capabilities grow.

Requirements

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.
Comfortable staying hands-on with coding and analysis while mentoring others.
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.

Nice To Haves

Experience with customer-facing scientific work is ideal.
Understanding of how pharma and biotech teams evaluate biological data is ideal.

Responsibilities

Build and improve pipelines for proteomic and transcriptomic data: QC, normalization, batch correction, feature engineering, and integration.
Develop ML models and analytical methods for target discovery, perturbation and functional genomics analysis, and phenotype classification.
Prototype ML-driven approaches and work with engineering teams to productionize them.
Interpret multi-omics datasets and connect data patterns to underlying biology.
Support analyses involving perturbation screens or functional genomics methods.
Define and translate customer analysis needs into specific Portal features and workflows.
Support customer projects with exploratory and confirmatory analyses.
Identify and communicate the insights most relevant to customer decisions.
Present data clearly and rigorously in sharable notebooks, presentations, and discussions.
Work with product, commercial, and scientific teams to define high-impact use cases.
Contribute to scientific content that strengthens Nomic’s leadership.