AI Curation Data Scientist

What You’ll Do

• Develop and optimize software pipelines for extracting and integrating structured and unstructured healthcare data
• Build and maintain AI/ML workflows for data classification, normalization, and analysis
• Train, fine‑tune, and evaluate large language models and embedding‑based systems
• Curate and validate high‑quality datasets used for LLM training and model improvement
• Work with complex healthcare data formats including XML, JSON, FHIR, and C‑CDA
• Implement de‑identification strategies and ensure compliance with PHI/PII handling policies
• Design and execute data quality assessments, validation frameworks, and automated testing processes
• Collaborate cross‑functionally with engineering and product teams to improve scalability and system performance
• Contribute to code repositories, testing infrastructure, and deployment best practices
• Explore emerging AI methodologies and rapidly prototype innovative solutions in a highly iterative environment

• Master’s degree or equivalent experience in Computer Science, Software Engineering, Statistics, Biology, or a related field
• 5+ years of hands‑on experience in AI/ML engineering, data science, software development, or predictive analytics
• Strong experience training and tuning transformer models and LLMs
• Significant experience curating datasets for AI model training
• Advanced Python development experience, including building extraction, classification, or NLP tools
• Hands‑on experience with embeddings models, sentence transformers, and modern LLM tooling
• Strong experience parsing and processing complex data formats such as XML and JSON
• Familiarity with healthcare interoperability standards such as FHIR and/or C‑CDA
• Experience with Tensor Flow, PyTorch, scikit‑learn, or similar ML frameworks
• Proficiency with Git and software development best practices
• Experience developing unit and integration tests for scientific or healthcare‑focused applications
• Strong communication skills and ability to collaborate effectively within remote teams
• A proactive, solutions‑oriented mindset with a passion for building high‑impact products

• Deep understanding of regex and advanced text‑processing techniques
• Experience with Unix command‑line tooling such as jq, xq, sed, and bash scripting
• Strong AWS experience, particularly around data storage and AI training infrastructure tradeoffs
• Experience working with HIPAA, PHI/PII handling, and healthcare de‑identification strategies
• Experience extending or customizing open‑source AI tooling
• Familiarity with AI‑assisted coding workflows and tools such as Git Hub Copilot, Claude Code, or similar platforms
• Experience working across multiple programming languages and distributed technical teams

• Opportunity to build AI systems that directly improve healthcare outcomes
• Work alongside experienced experts in AI, software systems, molecular biology, and clinical medicine
• High‑impact role within a fast‑growing and mission‑driven environment
• Exposure to cutting‑edge challenges in healthcare interoperability, AI model training, and clinical data engineering
• Collaborative culture that values innovation, ownership, and technical excellence
• Fully remote flexibility with meaningful opportunities for growth and technical leadership

If you’re excited by the opportunity to apply advanced AI and machine learning techniques to real‑world healthcare challenges — while working with a highly talented and mission‑driven team — we’d love to connect.