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
57 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $159k
This role $190k
$81k most similar roles pay here $263k

This role pays more than 73% of similar roles. Most pay $126,800–$192,050 — the shaded band above. At the midpoint, this role pays about $190k 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

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As a Biomedical Data Science Engineer at Apple’s Health Technologies Team, you will play a pivotal role in the development of innovative health products by collaborating with multidisciplinary teams to design and support lab studies involving time-series physiological sensors. Your day-to-day responsibilities include interpreting study findings, defining sensor feasibility criteria, developing analysis tools for complex data sets, implementing physiological models and algorithms, and creating data visualization strategies to influence project direction. This role requires a strong background in biomedical engineering or a related field, with expertise in human physiology and multi-sensor systems, as well as proficiency in Python and relevant libraries such as matplotlib and plotly. Additionally, experience with deep learning frameworks like PyTorch and distributed processing tools is preferred for handling large-scale data workflows efficiently.

Skills

Python matplotlib plotly tableau PyTorch Spark Dask PostgreSQL CI/CD

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 KPIs for user experience requirements.
  • Experience developing and validating physiological models and algorithms for health technologies.

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