Apply deep expertise in microbiome biology and metagenomics analysis to define how AI agents reason through complex datasets.
Build ground-truth benchmark datasets from published microbiome studies to rigorously test AI agent capability.
Work with software engineers and computational biologists to identify confounders and technical artifacts in computational microbiology.
Latch builds intelligent, high-performance agents for biological data analysis, empowering over 5,000 scientists across 150+ R&D labs. They have a waterfront office near Oracle Park and offer perks like 2x free daily meals, unlimited snacks, and a vibrant community with various clubs.
Design advanced bioinformatics problems that challenge frontier AI models and require multi-step computational reasoning.
Create deterministic problems with exactly one verifiable correct answer and complete, verified solutions.
Develop tasks involving sequence analysis, genomics, and other computational biology workflows using Python or R.
Anyone AI creates high-quality STEM training data for frontier AI models, used directly in training pipelines at leading AI labs. The company is a contractor-focused organization with a lean team of domain experts.
Design advanced biology problems that challenge frontier AI systems in molecular biology, genetics, or computational biology.
Create deterministic tasks with exactly one correct answer and submit complete, verified solutions.
Use Python and bioinformatics tools to build problems involving experimental reasoning and computational analysis.
We create high-quality STEM training data for frontier AI models used by leading AI labs. We are a team of experts working to improve model reasoning in scientific domains.
Conduct quantitative analyses on Novellia's patient datasets with support from the solutions team.
Translate analytical findings into scientific communications materials including white papers, abstracts, and media summaries.
Maintain rigorous standards for data integrity and ethical use of patient data.
Novellia is a patient-powered real-world data platform that provides comprehensive health insights to accelerate biopharma innovation. The company is growing 5x year-over-year, backed by top investors, and is dedicated to building a diverse, inclusive, and authentic workplace.
Lead the analysis and interpretation of molecular and clinical data in the context of early cancer detection.
Develop bioinformatics pipelines to enable high throughput NGS data processing and analysis.
In collaboration with wet lab scientists, rapidly characterize and iterate on experimental methods.
Freenome is a biotechnology company developing early, noninvasive cancer detection tests using cfDNA biomarkers. They are an equal opportunity employer with a collaborative, cross-functional team environment.