AI/ML Data Scientist with Healthcare

Summary: Build predictive and generative models to enhance care outcomes and hospital operations as an AI/ML Data Scientist in the healthcare sector. The role involves training and monitoring various machine learning models, fine-tuning large language models, and collaborating on fairness audits and model documentation. Additionally, the position requires the creation of synthetic datasets and data augmentation. This is a remote position for a duration of 12 months.

Key Responsibilities:

• Train, test, and monitor supervised and unsupervised models
• Fine-tune or prompt LLMs for classification, triage, summarization, or education
• Build RAG pipelines using Snowflake or vector stores like Pinecone
• Collaborate on fairness audits, explainability, and model documentation
• Create synthetic datasets and perform data augmentation where needed

Key Skills:

• 5+ years in ML roles with clinical or operational data
• Familiar with PyTorch, Hugging Face, SHAP, MLFlow, and GenAI evaluation metrics

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT