Biomedical Data Science Engineer - Health Technologies

Apple Inc

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$134,800–$245,800 / yr
Posted
29 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $170k
This role $190k
$113k most similar roles pay here $260k

This role pays more than 59% of similar roles. Most pay $126,800–$213,532 — the shaded band above. At the midpoint, this role pays about $190k 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 inform project decisions. You will collaborate with multidisciplinary teams, requiring proficiency in Python along with libraries such as matplotlib and plotly, and a strong understanding of human physiology and multi-sensor systems. Preferred qualifications include experience with deep learning frameworks like PyTorch, statistical testing methods, and distributed processing tools 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 potential confounders.
  • Define and evaluate criteria for sensor feasibility, including key performance indicators (KPIs).
  • Develop analysis tools to interpret physiological time series data from sensors.
  • Implement and validate models and algorithms for physiological systems.
  • Create data visualization strategies to communicate complex data and study findings 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 work effectively in a fast-paced environment with excellent communication skills.
  • Experience with deep learning frameworks such as PyTorch for model training and optimization.

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