Proficiency in python, pytorch, tensorflow, hugging face
Experience with agentic design patterns and rag
The role involves building AI engines that blend forecasting, optimization, and evidence synthesis to drive transparent recommendations for clinical trials
Job Summary
The role involves building AI engines that blend forecasting, optimization, and evidence synthesis to drive transparent recommendations for clinical trials.
You will transform multi-source data including historical signals and real-world data into production-grade intelligence using advanced algorithms and GenAI.
This is a hands-on role expecting around 80% time spent on coding to deliver high-quality, production-ready code on AWS.
Matching Summary
The role involves building AI engines that blend forecasting, optimization, and evidence synthesis to drive transparent recommendations for clinical trials.
Salary
Competitive; Not specified; Excellent Benefits
Skills & Requirements
Must-have
Ph.D. or equivalent experience in relevant field
Proficiency in Python, PyTorch, TensorFlow, Hugging Face
Experience with agentic design patterns and RAG
Strong AWS fundamentals for production workloads
Hands-on experience with Docker, FastAPI, and CI/CD
Nice-to-have
Experience with real-world data (EHR, claims)
Knowledge of drug development and pharma experience
Reinforcement learning and LM fine-tuning skills
TypeScript or AWS CDK knowledge
Contributions to open-source frameworks
Key Requirements
Ph.D. or equivalent experience in Mathematics, CS, ML, or Statistics
Proven track record of developing novel AI solutions with business impact
Ability to build secure, compliant ingestion and retrieval pipelines