Contribute to technical approach for evaluating AI agents' reasoning through biological function, recovering and interpreting experimental evidence.
Build ground-truth benchmark datasets from real discovery programs to test agents' quantitative reasoning capabilities.
Use expertise in functional biology assays and computational modeling to define metrics for agent capability in biological sequences and structures.
LatchBio builds intelligent, high-performance agents for biological data analysis, empowering over 5,000 scientists across 150+ R&D labs. They work at the frontier of artificial intelligence in biology.
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.
Contribute to cutting-edge scientific research by supporting complex bioinformatics projects in microbial genomics and high-throughput sequencing analysis.
Serve as a subject matter expert in metagenomic methodologies, providing technical leadership and analytical guidance across research initiatives.
Design, develop, and implement computational biology algorithms and workflows to process, analyze, and interpret large-scale biological data.
The company is a partner organization focused on advancing scientific research through computational biology and metagenomics. The culture values innovation, collaboration, and continuous learning, but specific size and employee details are not provided.
Manage day-to-day operations of the bioinformatics pipeline, tracking samples from data delivery to final release.
Perform standardized batch-level quality control analyses and provide computational support to science teams.
Work closely with customer support to resolve issues and collaborate with scientists and external partners.
Tiny Health advances lifelong health through precision microbiome science from the first 1,000 days to the last. Founded in 2020 by microbiome scientists and physicians, the company fosters a culture of high standards, transparency, and relentless resourcefulness.
Co-direct the research program in partnership with the founder to shape scientific vision and technical execution.
Develop RL feedback loops translating high-throughput biological measurements into reward signals for biological language models.
Perform hands-on engineering including architecting model training infrastructure and building, running, and debugging models.
Astera is a private foundation steering science and technology toward an abundant future by supporting projects as high-velocity startups. It operates unlike traditional non-profits, focusing on ambitious goals with strong technical talent and significant resources.
Apply deep subject-matter expertise to AI model evaluation and large language model projects.
Develop challenging domain-specific problems and assess AI responses for accuracy and reasoning.
Collaborate with AI research teams to improve training datasets and evaluation methodologies.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It offers a remote, asynchronous work culture and uses AI tools to support recruitment.
Participate in a remote, AI-moderated interview focused on your engineering workflows.
Walk us through how you design and build scalable computational pipelines from scratch.
Discuss technical tradeoffs in handling the unique scale and complexity of genomic data.
Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.