Plan and execute development experiments for Freenome's multiomics cancer screening tests.
Partner cross-functionally with computational, development, regulatory, and quality teams to develop a regulated strategy toward FDA approval.
Use quantitative skills to develop computational methods and interpret complex experimental results to optimize and validate innovative technology.
Freenome is a biotechnology company developing early, noninvasive blood-based tests for cancer detection. The company emphasizes a highly collaborative, cross-functional environment and values diversity.
Contribute to the technical approach for evaluating AI agent performance across the genetic medicines pipeline, including gene therapy, gene editing, and RNA therapeutics.
Design realistic program case studies spanning target validation, drug design, screening, chemistry optimization, and IND-enabling studies.
Review and stress-test AI agent outputs for scientific soundness, calibrating confidence on preclinical data with incomplete or conflicting signals.
Latch builds rigorous scientific benchmarks for AI agents across biology, working with frontier labs and pharma to measure whether agents can handle real biological workflows. The culture emphasizes radical transparency, high agency, and using AI tools with original expert judgment.
Evaluate AI-generated responses for scientific accuracy and logical consistency.
Test AI models with theoretical biology questions and realistic laboratory scenarios.
Identify and document model failure modes, recommending improvements to prompts and evaluation methods.
A partner company of Jobgether focused on improving AI language models through expert scientific training and evaluation. The organization works with freelance specialists to enhance AI reasoning and reliability in biological domains.