Agentic ai frameworks (langchain/langgraph, autogen, crewai)
Large language models and transformers
Modern deep learning architectures
Spearhead the development of cutting-edge agentic AI systems to revolutionize drug discovery, clinical trials, and patient outcomes
Job Summary
Spearhead the development of cutting-edge agentic AI systems to revolutionize drug discovery, clinical trials, and patient outcomes.
Guide a multidisciplinary team in building autonomous AI agents that can accelerate research timelines and enhance operational efficiency.
Drive innovation at the intersection of artificial intelligence and pharmaceutical science, translating complex healthcare challenges into breakthrough AI solutions.
Matching Summary
Spearhead the development of cutting-edge agentic AI systems to revolutionize drug discovery, clinical trials, and patient outcomes.
Salary
Base: 158,200.00 - 208,200.00; Bonus/Equity: Includes target bonus; Benefits: Not specified
Skills & Requirements
Must-have
Agentic AI frameworks (LangChain/LangGraph, AutoGen, CrewAI)
Large language models and transformers
Modern deep learning architectures
Python with AI frameworks (PyTorch, TensorFlow, JAX)
CI/CD pipelines and model monitoring
Pharmaceutical industry standards and regulatory requirements
Nice-to-have
Systems integrating clinical data, imaging, genomics
Contributions to open-source projects
Passion for improving patient lives
Responsible AI development and healthcare ethics
Key Requirements
Ph.D. or M.S. in relevant field
3+ years building production AI/ML systems
1+ years in technical leadership roles
Proven track record of publications in top-tier AI/ML or healthcare informatics conferences
Proven track record of managing and inspiring high-performing AI/ML teams
Hands-on experience with agentic AI frameworks and architectures
Expert-level Python skills
Experience with distributed systems and cloud platforms (AWS, Azure, GCP)