- Company Name
- Synthesize Bio
- Job Title
- Principal AI Researcher
- Job Description
-
**Job title:** Principal AI Researcher
**Role Summary:**
Lead the design, development, and production deployment of generative AI models for experimental biology data, driving product vision and technical standards for a life‑sciences AI platform.
**Expectations:**
- Deliver high‑impact generative AI solutions that accelerate drug development and genomics research.
- Provide technical leadership, mentorship, and roadmap guidance across cross‑functional teams.
- Maintain research breadth while ensuring production reliability and scalability.
**Key Responsibilities:**
- Own end‑to‑end execution of key generative AI research projects.
- Design, train, and deploy foundational generative models (e.g., diffusion, transformers) for genomic, transcriptomic, and proteomic datasets.
- Set and enforce model training, MLOps, inference, and batch/stream processing standards.
- Integrate AI models into the broader platform, collaborating with software and computational biology teams.
- Publish findings, contribute to technical vision, and iterate on research ideas into production-ready solutions.
- Mentor junior researchers and engineers across teams.
**Required Skills:**
- Deep expertise in generative AI (diffusion, transformers, LLM fine‑tuning).
- Experience with NGS/genomic or proteomic data pipelines and domain knowledge in drug development or clinical research.
- Proficiency in PyTorch, TensorFlow, or JAX; hands‑on MLOps (training, inference, batch/stream processing).
- Cloud deployment on AWS, Azure, or GCP; experience with production AI model hosting.
- Proven track record of leading technical projects, publishing research, and translating innovation to scalable products.
- Strong communication, collaboration, and mentorship capabilities.
**Required Education & Certifications:**
- PhD or Master’s degree (or equivalent) in Computer Science, Machine Learning, Bioinformatics, Computational Biology, or related field.
- Certifications in cloud platforms (AWS, Azure, GCP) or MLOps tools are a plus.
Washington, United states
On site
Senior
31-10-2025