Biomedical Data Science Engineer - Health Technologies

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified checked Jun 13, 2026

Salary

$135K-$246K From the posting source

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

70% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source

Seniority

Mid From the posting source

Schedule

Shift type

Not verified

Weekend work

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Company

Equity

Offered Verified - SEC 10-K source

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Biomedical Data Science Engineer - Health Technologies San Diego, United States of America The Health Technologies Team conceives and proves out exciting new technology for Apple's future products and features. In this role, you can be involved in the end-to-end new product development cycle for health and wellness technologies, from product ideation and feasibility assessment to algorithm implementation and product validation. Join our team to create extraordinary features that represent the cutting edge of innovation in the dynamic consumer health field. In this role, you'll collaborate with multidisciplinary teams to create innovative health products and features. As a biomedical data scientist, your responsibilities will include: -design and support of lab and human studies ranging from small scale pilot investigations to large scale sensor fusion studies -distill and interpret study findings to assess system performance and confounders -define and evaluate sensor feasibility criteria, including KPI development, mapping user experience requirements to sensor specifications -develop analysis tools to evaluate and interpret physiological time series sensor data -design, implement, and validate physiological models and algorithms -develop data visualization strategies for sharing complex data and study findings to influence project decisions and direction. The role requires effective collaboration with team members spanning a broad range of expertise and disciplines. Flexible thinking, adaptability to change, comfort with ambiguity, and ability to work both independently as well as in a team setting are hallmarks of success on our team. Minimum Qualifications: MS in Biomedical engineering or other engineering discipline with relevant prior experience with time-series physiological

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