Biomedical Data Science Engineer - Health Technologies

Apple Inc

Quick summary

Work type
On-site
Location
Sunnyvale, CA
Salary
$141,800–$258,600 / yr
Posted
29 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $170k
This role $200k
$111k most similar roles pay here $274k

This role pays more than 67% of similar roles. Most pay $126,800–$213,532 — the shaded band above. At the midpoint, this role pays about $200k versus about $170k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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At a glance

TL;DR · Biomedical Data Science Engineer - Health Technologies

As a Biomedical Data Science Engineer at Apple’s Health Technologies Team, you will work on the cutting edge of health and wellness technology, contributing to the entire product development cycle from ideation to validation. Your day-to-day responsibilities include designing and supporting lab studies, interpreting study findings, developing analysis tools for physiological time series data, and creating data visualization strategies to influence project direction. You will need a strong background in human physiology and experience with multi-sensor systems, along with proficiency in Python and relevant libraries such as matplotlib and plotly. Preferred qualifications include deep learning framework expertise (PyTorch), statistical testing methods, and distributed processing frameworks for large-scale data workflows. This role demands flexibility, adaptability, and the ability to collaborate effectively across diverse teams while working independently on complex projects.

What you'll do

  • Design and support lab studies involving small-scale pilot investigations and large-scale sensor fusion studies.
  • Interpret study findings to assess system performance and identify potential confounders.
  • Define criteria for evaluating sensor feasibility, including key performance indicators (KPIs).
  • Develop analysis tools to evaluate and interpret physiological time series data from sensors.
  • Design, implement, and validate models and algorithms for physiological systems.

What we're looking for

  • MS in Biomedical Engineering or related field with experience in time-series physiological sensors.
  • Strong understanding of human physiology and multi-sensor systems for signal measurement and analysis.
  • Proficient in Python for data processing, analysis, and visualization using tools like matplotlib and plotly.
  • Ability to organize and communicate effectively in a fast-paced environment.
  • Experience with deep learning frameworks such as PyTorch for model training and optimization.

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