Lead Full-Stack Clinical Platform Engineer, AI/ML (Biotech)

Kardigan; Princeton (NJ); On-site; USD 234,000 - 305,000; Full time

Job summary

Kardigan is seeking an Associate Director, Full Stack Clinical Platform Engineer to design, build, and operate production‑grade AI and ML solutions powering its clinical data platform. You will lead data workflows, model deployment, and governance across regulatory environments.

The role centers on scalable data pipelines, BI/ETL integration, and collaboration with Clinical Operations, IT, and regulatory teams to ensure compliant, auditable systems.

Qualifications

• Advanced degree in computer science, biomedical informatics, statistics, or related field required.
• Experience designing data platforms for regulated life sciences.
• Hands-on ML/AI pipeline experience in biotech/pharma settings.

Responsibilities

• Translate clinical/operational problems into AI solutions from framing to production deployment.
• Design and implement MLOps/LLMOps pipelines for deploying LLMs.
• Collaborate with data scientists to deploy and fine-tune Generative AI models.

Skills

Python

SQL

Cloud data platforms

DevOps

ML pipelines

NLP/LLMs

Education

Advanced degree in computer science or related field

PhD with 6+ years or MS with 10+ years

Tools

Snowflake

Databricks

Redshift

BigQuery

AWS/Azure/GCP

Docker/Kubernetes

CI/CD tooling

Job description

Kardigan is seeking an Associate Director, Full Stack Clinical Platform Engineer to design, build, and operate production‑grade AI and ML solutions powering its clinical data platform. You will lead data workflows, model deployment, and governance across regulatory environments.

The role centers on scalable data pipelines, BI/ETL integration, and collaboration with Clinical Operations, IT, and regulatory teams to ensure compliant, auditable systems.