Output
Member of the Technical Staff, Biological Data
New York HQ 🗽 · Staff+
Sponsorship not specifiedDetected 47 days ago
PythonMachine LearningData AnalysisBioinformaticsMolecular BiologyResearchLeadershipCollaboration
About the role
- Output has built a biological reasoning model that understands biology at the scale and complexity life actually operates.
- Our model independently learned the principles of molecular interactions, opening up drug treatments that were previously impossible.
- We're already generating therapies that traditional approaches cannot reach.
Responsibilities
- The hardest problems in both AI and biology are being solved here, and there is room for you to own one.
- You will own the data that our models learn from.
- You will design benchmarks grounded in real molecular phenomena, measuring whether our models have learned biologically meaningful capabilities rather than statistical shortcuts
- You will design approaches for integrating data across biological scales and modalities, building coherent training data from heterogeneous experimental and computational sources
- You will design rigorous splitting and evaluation strategies that prevent leakage and ensure model capabilities generalize to real biological problems
- Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you
- You own your day-to-day management.
Requirements
- You have deep understanding of molecular interactions, protein structure, and biological data at the molecular level, grounded in first principles rather than surface familiarity
- You have experience working with large-scale biological or molecular datasets, including sourcing, cleaning, integrating, and analyzing heterogeneous data
- You have experience with computational biology tools such as structure prediction, molecular docking, or virtual screening
- You have publications in computational biology, bioinformatics, or molecular informatics
- You have a background in cheminformatics or molecular data analysis
- You have experience working with protein or molecular language models
Compensation
- Competitive salary and equity in a growing, well-funded startup
Benefits
- Competitive salary and equity in a growing, well-funded startup
- Excellent medical, dental, and vision coverage
- You have experience training or evaluating machine learning models, particularly on molecular or biological data
- You will develop data strategies in collaboration with model researchers, determining what the model should learn from, what biological signal to prioritize, and how to sequence learning across modalities
Company info
- We foster a culture of ownership.
- We are assembling a team of individuals who are passionate and take pride in their contributions.
- We value practicality and results-oriented thinking.
- We are committed to making a tangible impact on the lives of patients and the broader community.
This listing is sourced directly from Output's careers page and normalized into a canonical job model.