Health AI ML Data Scientist
Core
Design, develop, and maintain AI and machine learning solutions to improve healthcare, public health, biomedical research, and operational decision-making.
Role type
Senior IC Health AI ML Data Scientist
Builds
Production-ready AI solutions for document processing, knowledge management, predictive analytics, and operational efficiency in healthcare and public health.
Domain
Healthcare, Public Health, Biomedical Research, Operational Analytics
Deliverable
production ML models
Required skills
Python, SQL, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Generative AI (LLMs, RAG), NLP, Computer Vision, MLOps, Cloud-native analytics
Preferred skills
Azure OpenAI, LangChain, Databricks, Snowflake, FHIR, HL7, LOINC, SNOMED CT, ICD-10, OMOP, AI governance frameworks
Technologies
Python, SQL, Spark, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Azure OpenAI, LangChain, Databricks, Snowflake, MLflow, SageMaker, Kubeflow
Responsibilities
Design and implement AI-enabled workflow solutions for document processing and knowledge management; Develop predictive, classification, clustering, and NLP models using structured and unstructured data; Evaluate, validate, and monitor AI models for performance, explainability, and fairness; Collaborate with epidemiologists and researchers to translate business needs into AI solutions; Develop dashboards and technical documentation to communicate findings; Support deployment and continuous improvement using MLOps practices; Mentor junior team members and provide technical leadership.
Seniority
Senior, hands-on IC with mentorship responsibilities