Source Job

• 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.

• Lead state-of-the-art research and development in AI/ML, advanced statistical modeling, and applied mathematics to solve security problems.
• Develop novel AI workflows and models to address Ent's security challenges, incorporating and advancing current SOTA approaches.
• Collaborate with the team to invent frameworks and theoretical grounding while thinking outside the box to combine multiple techniques.

Ent is an intent-aware workspace security platform that secures human and AI-driven work by understanding intent and intervening at the moment of risk. Founded by former RiskIQ co-founders, backed by leading VCs, and in production with Global 2000 customers, the company values a customer-first, humble, and urgent culture.

• Lead the scientific strategy for predictive toxicology and quantitative biology in drug discovery.
• Develop advanced ML models using graph neural networks, transformers, and federated learning.
• Collaborate with customers and partners to integrate AI solutions into real-world workflows.

The company is a partner of Jobgether, specializing in AI-powered solutions for life sciences and drug discovery. They are a remote-first organization with a highly skilled international team and a collaborative culture.

• Apply advanced computational biology and AI approaches to integrate multiomics datasets for therapeutic discovery.
• Collaborate with cross-functional teams to translate complex findings into actionable scientific strategies.
• Continuously evaluate emerging computational methods and biological datasets to accelerate innovation.

This biotechnology company advances transformative therapies for rare genetic diseases through data-driven science. It fosters a collaborative, patient-centered culture with a focus on innovation and scientific excellence.

• Lead development of Dyno’s external-facing AI platforms (e.g., design.dynotx.com)
• Develop field-relevant benchmarks for agentic tasks in biological design
• Build and improve AI-driven workflows that integrate models, data systems, and experimental feedback

Dyno Therapeutics is a biotech company that develops AI-driven genetic technologies to transform patient lives. They are a high-energy, high-impact team of world-class scientists and engineers working at the intersection of AI and genetic medicine.

• 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.