Staff Data Scientist – Core Platform

🕒 August 1

🇺🇸 United States – Remote

💵 $170k - $200k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Prealize Health

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏥 Healthcare

🤖 Artificial Intelligence

💰 $7.3M Venture Round on 2022-12

Healthcare • Artificial Intelligence

Prealize Health is a company based in Palo Alto, California, dedicated to transforming healthcare from a reactive to a proactive approach through the use of data sciences and advanced technologies like machine learning and artificial intelligence. By connecting predictive insights to effective actions, Prealize aims to improve health outcomes and enable people to lead healthier lives. The company partners with health plans, employers, and providers across the nation to deliver proactive healthcare solutions.

📋 Description

• Drive the end-to-end building and execution of our custom healthcare foundation models, translating high-level clinical use cases into concrete deep learning architectures and training objectives. • Set the technical roadmap for patient risk prediction and health trajectory modeling, pioneering the use of transformer-based architectures in the healthcare domain. • Establish best practices for deep learning pipelines, including self-supervised pre-training, fine-tuning paradigms, and rigorous evaluation of longitudinal healthcare data. • Own the full ML lifecycle—from data processing and research prototyping to production deployment—while mentoring junior data scientists in modern engineering practices. • Partner with clinicians to encode medical domain knowledge into model architectures and work with Engineering to productionize models with high reliability and low latency. • Experiment with novel architectures and representation learning strategies to ensure our platform remains at the forefront of AI-driven healthcare insights. • Contribute to research initiatives and represent Prealize Health’s technical expertise in the broader machine learning and healthcare data science community.

🎯 Requirements

• Education: PhD and/or MS in Computer Science, Machine Learning, Statistics, or a related quantitative field. • Experience: 6–8+ years of experience (with 4+ years specifically building and deploying ML systems in production) with a proven track record of technical leadership. • Deep Learning Expertise: Mastery of transformer architectures, attention mechanisms, and pre-training/fine-tuning paradigms. • Hands-on experience with PyTorch or TensorFlow is mandatory. • Programming & AI Tooling: Expert proficiency in Python and distributed computing (PySpark/Spark/SQL) for large-scale data processing. • Proficiency in leveraging AI-assisted coding tools (e.g., Claude Code, Cursor, Codex) to accelerate development cycles and enhance code quality. • Software Engineering Rigor: Strong skills in software design patterns, testing frameworks, CI/CD, and code quality practices. • Strategic Mindset: Demonstrated ability to conduct independent research and translate complex findings into production systems that solve high-ambiguity problems. • Communication: Exceptional ability to distill complex technical strategies and research findings for executive stakeholders and cross-functional teams.

🏖️ Benefits

• Flexible work environment • Competitive base salary plus a generous bonus and equity plan • Paid time off including holidays • Medical, dental, vision • 401k • Wellness and home office benefits, and more