Biomedical Data Science Engineer - Health Technologies

Apple Inc

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $159k
This role $200k
$80k most similar roles pay here $278k

This role pays more than 80% of similar roles. Most pay $126,800–$192,050 — the shaded band above. At the midpoint, this role pays about $200k versus about $159k 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 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 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 end-to-end development of innovative health products and features from ideation to validation. Your daily tasks include designing and supporting lab studies, interpreting study findings, defining sensor feasibility criteria, developing analysis tools for physiological time series data, implementing and validating algorithms, and creating data visualization strategies. You will collaborate with multidisciplinary teams, requiring strong Python skills along with proficiency in libraries like matplotlib and plotly. A background in biomedical engineering or a related field is essential, alongside experience with multi-sensor systems and human physiology. Preferred qualifications include deep learning expertise using frameworks like PyTorch, statistical testing methods, and distributed processing for large-scale data workflows. This role demands flexibility, adaptability, and the ability to work both independently and collaboratively in a fast-paced environment.

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 confounders affecting results.
  • Define criteria for evaluating sensor feasibility, including key performance indicators (KPIs).
  • Develop analysis tools to evaluate physiological time series data from sensors.
  • Implement and validate models and algorithms for physiological systems.
  • Create data visualization strategies to communicate complex data insights effectively.

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 design and evaluate sensor feasibility criteria and develop key performance indicators.
  • Experience implementing and validating physiological models and algorithms.

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