Staff Data Scientist – Core Platform

Prealize Health

Staff Data Scientist leading development of next-generation healthcare foundation models at Prealize Health. Bridging high-level research and real-world healthcare applications with technical leadership.

Posted 8/1/2026full-timeRemote • 🇺🇸 United StatesLead💰 $170,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in building and deploying machine learning systems, particularly in healthcare, with a focus on deep learning architectures and the full ML lifecycle. Strong ability to mentor junior data scientists and collaborate with clinicians to integrate medical knowledge into AI models.

Highest-signal resume keywords

Deep Learning ExpertiseTransformer ArchitecturesHands-On Experience With PyTorchExpert Proficiency In PythonTechnical Leadership

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningDeep LearningData ProcessingModel DeploymentPre-Training/Fine-TuningAttention MechanismsSoftware Design PatternsTesting FrameworksCI/CDStatistical Analysis

Soft Skills

CommunicationStrategic MindsetMentoring

Tools & Technologies

PyTorchTensorFlowPySparkSparkSQLAI-Assisted Coding Tools

Certifications & Qualifications

PhDMS

Industry Keywords

HealthcareClinical Use CasesAI-Driven InsightsLongitudinal Healthcare DataResearch Initiatives

Tech Stack

Tools & technologies

PySparkPythonPyTorchSparkSQLTensorflow

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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