Associate Director, Full Stack Clinical Platform Engineer
Core
Design, implement, and operate production-grade Generative AI and Machine Learning solutions to power Kardigan's Global Development Digital Transformation initiative, bridging data engineering and applied AI for clinical operations.
Role type
Senior IC Full Stack Clinical Platform Engineer (Generative AI & ML)
Builds
Modern data platforms, AI-enabled pipelines, and MLOps/LLMOps infrastructure for clinical development
Domain
Biotech/Pharma/Healthcare clinical data infrastructure and regulated life sciences
Deliverable
production ML models
Required skills
Generative AI & LLM deployment, MLOps/LLMOps, Cloud data platforms (Snowflake, Databricks, Redshift, BigQuery), Python, SQL, R, Cloud architecture (AWS, Azure, GCP), DevOps (CI/CD, Docker, Kubernetes), Regulatory compliance (HIPAA, GDPR, 21 CFR Part 11), Clinical data standards (CDISC, HL7, FHIR), Data governance
Preferred skills
PhD in CS/Biomedical Informatics/Statistics, Experience with Retrieval-Augmented Generation (RAG) and vector databases, Experience integrating CRO and external partner data
Technologies
Python, SQL, R, Snowflake, Databricks, Redshift, BigQuery, AWS, Azure, GCP, Docker, Kubernetes, Bitbucket, GitHub
Responsibilities
Translate clinical problems into AI solutions, Design and implement MLOps/LLMOps pipelines, Collaborate on deploying and fine-tuning Generative AI models, Develop scalable data and ML pipelines for clinical data, Evaluate AI tools and frameworks (RAG, vector DBs), Ensure regulatory compliance and data governance, Maintain code repositories and CI/CD pipelines
Seniority
Senior, hands-on IC
