Clinical Analyst

Austin April 17, 2026 Apple Custom Ats

Summary

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly, and making the kind of impact that changes people's lives. The Apple Health Software team embodies the core Apple values around delighting our customers with groundbreaking user experiences, empowering users to live a better - and healthier - life, while keeping their data safe, private, and secure. Our team needs your help shaping the next generation of health-related experiences by working to make clinical data more understandable, insightful, and actionable. You'll have the opportunity to work with world-class medical professionals, designers, and engineers to help innovate in healthcare in ways that only Apple can.

Description

As a Clinical Analyst, you’ll be a technical and clinical subject matter expert on a team that builds new and exciting experiences around clinical data. You'll contribute to efforts to design and govern clinical knowledge infrastructure and apply informatics methods to transform complex health data into scalable product features. You thrive in environments where clinical rigor and technical innovation intersect.

Minimum Qualifications

4+ years of experience in clinical informatics or healthcare data applied in a clinical setting Deep expertise with medical coding standards, such as SNOMED-CT, ICD-9, ICD-10, CPT, HCPCS, LOINC, and RxNorm Proficiency in SQL or Python for data analysis and knowledge base management Strong communication skills, able to bridge clinical, technical, and product audiences Bachelor/Masters Degree in relevant field

Preferred Qualifications

Experience on a cross-functional team building digital consumer products Experience with AI/ML applications in digital products Experience using AI coding tools Independent self-starter who thrives in complex and ambiguous environments Excellent communication and interpersonal skills. Ability to simplify sophisticated clinical concepts
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