Health Studies Operations Engineer

Apple•Sunnyvale, CA

About The Position

Apple is seeking a Health Studies Operations Engineer to support the design, coordination, execution, and monitoring of health studies. The role drives research that informs health technologies and suits someone who can balance big-picture thinking with attention to detail, has health user study expertise, and can manage multiple projects in fast-paced technical environments. The position works at the intersection of technology and research.

Requirements

  • At least 3 years of experience in health research management, health or engineering operations, or relevant medical or clinical experience.
  • BA/BS in nursing, life sciences, health, or a research-related discipline.
  • Strong human subjects research background and clear understanding of the user study research lifecycle.
  • Strong technical skills in setting up and troubleshooting hardware and software.
  • Demonstrated ability to manage vendors to deliver results.
  • Experience integrating AI-assisted workflows into daily project execution to streamline repetitive tasks and scale output without compromising quality.

Nice To Haves

  • MS or PhD in nursing, life sciences, health, or a research-related discipline.
  • Ability to navigate ambiguous or changing study requirements, drive decisions, and keep studies on track.
  • Proven track record of delivering large-scale user studies for product development.
  • Hands-on experience configuring and troubleshooting wearable sensors or biometric collection devices.
  • Proven ability to coordinate studies across multiple domestic and/or international sites and distributed vendor teams.
  • Experience managing research budgets and contracts across multiple concurrent vendors.
  • Ability to thrive while managing fast-paced projects with minimal supervision.
  • Excellent written and verbal communication skills.
  • Dedication to delivering high-quality results while resolving challenges.

Responsibilities

  • Support the design, coordination, execution, and monitoring of health studies.
  • Manage multiple projects in a fast-paced technical environment.
  • Set up and troubleshoot hardware and software for studies.
  • Manage vendors to deliver results.
  • Integrate AI-assisted workflows into daily project execution to streamline repetitive tasks and scale output without compromising quality.
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