AI Senior Scientist
VivodyneDrug Discovery company
San Francisco, United StatesSenior
Khosla Ventures
Kairos Ventures
CS Ventures
MBX Capital
Bison Ventures
Lingotto Investment Management
Data & AI
About the role
TL;DR
Develop large-scale AI models to analyze Vivodyne's imaging and multi-omics datasets.
- •As an AI Senior Scientist, you will leverage your deep expertise in developing large-scale models to help turn our state-of-the-art imaging and multi-omics datasets into groundbreaking scientific insights.
- •Key Responsibilities Scientific Innovation
- •Work closely with internal and external stakeholders to understand their scientific objectives and innovate new approaches.
- •Model Development
- •Lead hands-on development of cutting-edge machine learning models with a focus on image processing and image enhancement.
- •Data Pipeline Optimization
- •Build and deploy pipelines capable of scaling to petabyte-scale data, ensuring robust MLOps practices on AWS or equivalent cloud platforms.
- •Multimodal Integration
- •Explore and develop novel methods to incorporate multi-omics data into imaging-based Phenomaps, advancing the state of the art in multimodal phenotypic analysis.
- •Collaboration & Communication
- •Partner with tissue engineers, microfluidics experts, and robotics engineers to refine data collection strategies and identify opportunities for improved AI-driven solutions.
- •Requirements Deep expertise in developing large-scale models including Transformer, Diffusion, and hybrid architectures.
- •Strong background in Generative AI solutions.
- •Experience with MLOps practices on AWS or equivalent cloud platforms.
- •Ability to collaborate closely with biologists, engineers, and AI specialists.
- •Excellent communication and collaboration skills.
Required skills
AWS
Domain expertise
biotech
Tech stack
AWS