Flagship Pioneering
Principal Scientist, Machine Learning - Multimodal Biological Reasoning
$216K–$297K
Cambridge, MA USA +1 · Principal · Full-time · Posted Jun 30, 2026
- Location
- Cambridge, MA USA
Pioneering Intelligence - Experience
- No specific number of years stated; requires the experience described in the qualifications and requirements.
- Education
- PhD, MS, or equivalent experience in computational biology, machine learning, bioengineering, computer science, systems biology, quantitative biology, translational science, or a related field.
About the job
Leads development and deployment of multimodal biological reasoning engines, translating scientific use cases into models and integrating them into an autonomous science platform.
What you'll do
- Own the model roadmap from architecture and data exploration through benchmarking, refinement, and agentic integration.
- Guide multimodal, multiscale model design and translate biological needs into model and evaluation requirements.
- Source portfolio use cases and data, define success criteria, and integrate reasoning engines into the AI Scientist platform.
What they ask for
- PhD, MS, or equivalent experience in a relevant field such as computational biology, machine learning, bioengineering, computer science, systems biology, quantitative biology, or translational science.
- Experience in biotech, pharma, AI-for-science, AI drug discovery, venture creation, or a platform organization serving multiple scientific programs.
- Experience deploying AI/ML for biology systems into scientific workflows at enterprise scale.
- Experience with LLMs, biological foundation models, protein language models, genomic foundation models, scientific agents, or AI discovery platforms.
Pay
$216,000 - $297,000 USD base salary
Tools
LLMs, biological foundation models, protein language models, genomic foundation models, scientific agents, AI discovery platforms
AI focus
Develops multimodal, multiscale AI systems for biological reasoning and autonomous scientific discovery, including applications such as mechanism-of-action reasoning, target discovery, and protein function.
Model-written summary · the original posting is authoritative