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HHMI funds basic science across US research institutions and operates Janelia Research Campus, a dedicated lab complex since 2006. The tech stack—cryo-EM, PyTorch, JAX, AlphaFold, Vision Transformers, RNA-seq on AWS—reflects a research organization in active transition toward computational biology and ML-driven image analysis. Recently adopting Claude signals internal exploration of AI tooling to accelerate analysis pipelines. Hiring is concentrated in research roles (75% of active postings), with a titled AI Enablement Director position indicating institutional commitment to tool adoption, but decelerating velocity suggests either staffing targets met or budget constraint.
Tech Stack 32 technologies
Core StackMATLAB Python GitHub AWS Workday C++ MySQL PyTorch cryo-EM Cryo-EM Concur Udemy Arduino Sanger sequencing Globus R Julia YouTube Vimeo Microsoft Office SharePoint Google Docs JAX Zarr Vision Transformer U-Net AlphaFold RNA-seq CUDA NVIDIA GPU
AdoptingClaude
What Howard Hughes Medical Institute (HHMI) Is Building
◆Challenges
- Compliance with regulations
- Budget management
- Data quality and reproducibility
- Temporary staffing needs
- Compliance with regulatory requirements
- Ensuring operation of essential equipment
- Adequate supplies for experimental procedures
- Expanding cryoem capacity
- Slow biosensor development
- High sample numbers
▲Active Projects
- Ai@hhmi
- Foundational microscopy image analysis (mia) project
- Combinaitorial sensor design project
- Flymax system
- Direct co-investment opportunities and special projects
- Develop computational tools and analysis pipelines for behavioral assay results
- Circuit processes integration of memories for learning and navigation
- Molecular mechanisms of plasticity rules in mushroom body compartments
- Development of new tools for studying bumblebee brains
- Internal error correction mechanism of motor circuits
Hiring Activity
140 roles · 30 in 30d
Department
Seniority
Notable leadership hires: AI Enablement Director
Company intelligence
