Member of Technical Staff - Computational Biology
About The Position
About Edison Scientific focuses on building and commercializing AI agents for science, and shares FutureHouse’s mission to build an AI Scientist- scaling autonomous research, productizing it, and applying it to critical challenges such as drug development. Role As a Member of Technical Staff - Computational Biology, you'll build and evaluate AI agent systems to automate biological discovery. You'll focus on improving how LLMs execute complex scientific tasks, creating benchmarks to measure their performance, and collaborating with researchers to generate and validate novel findings in biology. You'll be working alongside exceptionally smart, mission-driven people on problems that genuinely matter. Instead of optimizing ad clicks, you'll be advancing science and making breakthrough discoveries in basic research. We're well-resourced with a wet lab, extensive compute, and the tools you need to do your best work. We publish our findings and work out of a great space in Dogpatch.
Requirements
- PhD in biological science, broadly defined
- Experience analyzing one or more of the following types of complex biological data in a first-author publication: sc-omics data, high throughput screen data, proteomics or lipidomics data, human genetic data, imaging data, or protein structure data.
- Expertise in one area of mammalian biology
- Familiar with the advantages and limitations of chat-based LLM and agentic coding tools to perform data analysis tasks in biological research
- Strong critical thinking skills and ability to identify mistakes in LLM-generated analyses
- Excellent written and verbal communication skills
- Good attention to detail
Nice To Haves
- You enjoy quickly iterating on ideas through rapid prototyping
- You operate with high independence, and like to execute complex tasks to completion with minimal supervision
- You thrive when working on a diversity of projects in sprint-based formats, and have high comfort with uncertainty
- You enjoy trying out the newest AI tools
- You are proficient in experimental design, and could execute experiments yourself or via a CRO if necessary
Responsibilities
- Improving the ability of LLM agents to execute long, coherent data-driven discovery tasks
- Building benchmarks to automatically evaluate the performance of LLM agents on a wide variety of scientific tasks
- Working with collaborators to apply AI agents to make novel discoveries in biology
- Evaluating the accuracy of AI-generated discoveries through independent human analysis
- Leading or contributing to publications describing technical achievement
Benefits
- In addition to base pay, team members are eligible for equity, benefits, and other perks.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
