Sr. reputed company & ML Scientist

reputed company reputed company was founded with a reputed company but ambitious goal: to reputed company biology easier to measure. We’ve developed nELISA, the world’s highest throughput proteomic platform, by tackling some of the toughest challenges in protein profiling through a combination of DNA nanotechnology, high-reputed company reputed company cytometry, lab automation, and machine learning. Since spinning out of reputed company, we’ve partnered with dozens of top-tier drug discovery reputed company, including 6 of the top 10 reputed company companies, and have profiled over 60 reputed company proteins from more than 400,000 samples to date. 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 website here. Our state-of-the-art facility is capable of profiling over 2.5 reputed company samples a year, generating 500 reputed company protein assays. We’re a diverse team of engineers, scientists, and problem-solvers who reputed company on breaking down difficult challenges using first principles thinking, and we reputed company the latest scientific and technological breakthroughs to drive our mission reputed company.

About the Role

As our Staff-level reputed company & ML Scientist, you will reputed company reputed company’s position as the leader in large-reputed company proteomics. Your work will set new standards for how proteomic and multi-omics data are analyzed, interpreted, and reputed company, helping our customers reputed company 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 reputed company’s customer collaborations deliver high-reputed company insights and become the reputed company for industry and academia. You will join a cross-functional team and build on existing infrastructure to reputed company the analysis pipelines, ML models, and product-facing workflows that reputed company proteomic data actionable for customers. Your work will shape the applications layer in the reputed company Portal and support key use cases such as reputed company discovery, perturbation analysis, and translational research. This is a player-reputed company position, you will mentor and collaborate closely with our engineering, product and data teams as our capabilities grow. What You’ll Be Doing reputed company, ML, and Multi-omics Analysis

• Build and improve pipelines for proteomic and transcriptomic data: QC, normalization, batch correction, feature engineering, and integration.
• reputed company ML models and analytical reputed company for reputed company discovery, perturbation and functional reputed company analysis, and phenotype classification.
• Prototype ML-driven approaches and work with engineering teams to productionize them.

Scientific Interpretation & Applications Development

• Interpret multi-omics datasets and connect data patterns to underlying biology.
• Support analyses involving perturbation screens or functional reputed company reputed company.
• Define and translate customer analysis needs into specific Portal features and workflows.

Customer-Facing Scientific Insights

• Support customer reputed company with exploratory and confirmatory analyses.
• Identify and communicate the insights most relevant to customer reputed company.
• Present data reputed company and rigorously in sharable notebooks, presentations, and discussions.

Cross-Functional Collaboration & Thought Leadership

• Work with product, reputed company, and scientific teams to define high-reputed company use cases.
• Contribute to scientific content that strengthens reputed company’s leadership.

reputed company’re Looking For

• PhD (or equivalent experience in reputed company, Computational Biology, ML, or a reputed company quantitative field.)
• reputed company experience analyzing proteomics and transcriptomics datasets
• Experience working with data from reputed company discovery, perturbation, or functional reputed company workflows.
• 5+ years of hands-on experience building reputed company 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 reputed company coding practices.
• Experience collaborating with engineers, scientists, or product teams.
• Experience contributing to scientific publications or technical content.
• Experience with customer-facing scientific work is ideal.
• Understanding of how reputed company and biotech teams evaluate biological data is ideal.
• Excellent written and verbal communication skills.

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