Biomedical Data Science Engineer - Health Technologies

Apple Apple · Big Tech · San Diego, CA +1 · Hardware

This role focuses on developing and validating physiological models and algorithms for health technologies, involving study design, data analysis, and visualization. It requires expertise in time-series physiological sensors and Python, with preferred experience in deep learning frameworks.

What you'd actually do

  1. design and support of lab and human studies ranging from small scale pilot investigations to large scale sensor fusion studies
  2. distill and interpret study findings to assess system performance and confounders
  3. define and evaluate sensor feasibility criteria, including KPI development, mapping user experience requirements to sensor specifications
  4. develop analysis tools to evaluate and interpret physiological time series sensor data
  5. design, implement, and validate physiological models and algorithms

Skills

Required

  • MS in Biomedical engineering or other engineering discipline with relevant prior experience with time-series physiological sensors, devices, and applications
  • Python
  • matplotlib
  • plotly
  • tableau

Nice to have

  • PhD in Biomedical engineering or other engineering discipline with relevant prior experience
  • PyTorch
  • model training
  • loss function design
  • optimization
  • cross-validation
  • statistical testing methods
  • Spark
  • Dask
  • data management
  • organization
  • storage
  • retrieval

What the JD emphasized

  • Must have a strong understanding of human physiology
  • Must have experience using Python to process, analyze, and visualize data
  • Must be highly organized and able to thrive in a fast-paced environment
  • Must have excellent communication skills

Other signals

  • design and support of lab and human studies
  • distill and interpret study findings
  • define and evaluate sensor feasibility criteria
  • develop analysis tools to evaluate and interpret physiological time series sensor data
  • design, implement, and validate physiological models and algorithms
  • develop data visualization strategies