The Health Technologies Team at Apple is focused on developing innovative health and wellness technologies. In this role, you will engage in the entire product development cycle, from ideation to validation. As a biomedical data scientist, you will collaborate with multidisciplinary teams to create cutting-edge health products. The position emphasizes flexibility, adaptability, and effective communication within a fast-paced environment.

• MS or PhD in Biomedical Engineering or a related engineering discipline.
• Strong understanding of human physiology and experience with time-series physiological sensors.
• Proficiency in Python for data processing, analysis, and visualization.
• Experience with deep learning frameworks such as PyTorch.
• Familiarity with statistical testing methods for experimental data analysis.
• Experience with distributed processing frameworks like Spark or Dask.

• Design and support lab and human studies, from small pilot investigations to large sensor fusion studies.
• Distill and interpret study findings to assess system performance and identify confounders.
• Define and evaluate sensor feasibility criteria, including developing key performance indicators.
• Develop analysis tools to evaluate and interpret physiological time series sensor data.
• Design, implement, and validate physiological models and algorithms.
• Develop data visualization strategies to share complex data and influence project decisions.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.