Sr Mngr, Full Stack Clinical Platform Eng
Core
Design and build MLOps and LLMOps pipelines to deploy, monitor, and manage large language models in production for clinical development ecosystems.
Role type
Senior IC full-stack clinical platform engineer (AI/ML & Data Engineering)
Builds
Scalable data and machine learning pipelines for ingestion, preprocessing, validation, training, evaluation, and model deployment.
Domain
Life sciences / Healthcare / Clinical Data / Regulated AI
Deliverable
production ML models | infrastructure
Required skills
Cloud architecture (AWS/Azure/GCP), Data engineering (data lakes/warehouses), Python, SQL, R, MLOps/LLMOps, DevOps (CI/CD, Docker, Kubernetes), Clinical data standards (CDISC, HL7, FHIR), Regulatory compliance (HIPAA, GDPR, 21 CFR Part 11), Generative AI (RAG, LLMs, embedding models)
Preferred skills
Advanced degree in CS/Biomedical Informatics/Statistics, 6+ years leading end-to-end data engineering solutions, Experience with NLP and anomaly detection, Data governance frameworks
Technologies
AWS, Azure, Google Cloud Platform, Snowflake, Databricks, Redshift, BigQuery, Docker, Kubernetes, Python, SQL, R, CI/CD, MLOps, LLMOps, RAG, Vector databases
Responsibilities
Translate ambiguous clinical challenges into defined AI solutions from problem framing to production release. Partner with data scientists to deploy and fine-tune Generative AI models. Develop scalable pipelines for structured and unstructured clinical data integration. Evaluate and recommend AI tools and frameworks balancing compliance, performance, and cost. Implement automated quality monitoring for clinical data and trigger corrective workflows. Ensure compliance with HIPAA, GDPR, and 21 CFR Part 11 while contributing to data governance strategy.
Seniority
Senior, hands-on IC with strategic liaison duties
