MedTech Data Science & Signal Processing Intern

CranioSense, LLC; Massachusetts; Hybrid; USD 41,000 - 69,000; Full time

Benefits offered by this job

Paid internship

Potential for full-time employment

Job summary

CranioSense is seeking a Bachelor’s or Master’s-level Data Science & Signal Processing Intern to support preparation and transformation of physiological waveform and sensor datasets. The intern will write Python/Matlab code for data conditioning, feature extraction, and quality inspection under the VP of Data Science and other technical leads.

The role involves exploring multi-site PPG data, transforming waveforms into reproducible features, and collaborating across data science, product,

Qualifications

• Pursuing or recently completed a Bachelor’s or Master's degree in Biomedical Engineering, Electrical Engineering, Computer Science, Data Science, Applied Mathematics, Physics, Computational Biology, or a related quantitative discipline
• Strong Python/Matlab skills and experience working with scientific, engineering, biomedical, or time-series datasets
• Experience with basic signal processing, feature extraction, data quality assessment, preprocessing, and exploratory analysis of noisy real-world data
• Experience with physiological waveforms, PPG, biophotonics, optical sensing, or other biomedical sensor data preferred
• Comfort with NumPy, pandas, SciPy, scikit-learn, visualization tools, and related scientific-computing libraries
• Experience with Git, reproducible analysis workflows, and cloud-based computing environments preferred
• Experience with structured datasets, SQL, or modern data tooling preferred
• Strong attention to detail and ability to investigate complex datasets, debug analytical pipelines, and follow problems through to resolution
• Strong analytical, critical-thinking, and problem-solving skills with a willingness to dig into data and iterate
• Excellent written and verbal communication skills

Responsibilities

• Prepare, organize, assess and quality-check physiological waveform (and other relevant bio-signals), sensor, clinical, and metadata datasets
• Develop preprocessing and signal-conditioning code to filter, normalize, segment, synchronize, and prepare raw physiological data streams
• Explore and mine multi-site PPG and related physiological signals to identify patterns, artifacts, data-quality issues, and candidate features
• Transform raw PPG waveforms into reproducible features and structured datasets for use by senior data scientists in model development and validation
• Write reusable Python/Matlab code and scripts to automate data preparation, feature extraction, visualization, and exploratory analysis
• Support dataset assembly, labeling, documentation, versioning, and traceability across clinical and development activities
• Perform exploratory analyses and visualizations to characterize feature behavior, cohort differences, and signal quality
• Collaborate with the VP of Data Science, product, engineering, and clinical teams to troubleshoot data and signal-processing issues
• Document methods and findings clearly for the broader data science team

Skills

Python/Matlab

Time-series data

Analytical skills

Education

Bachelor's or Master's degree in Biomedical Engineering or related

Tools

NumPy

Pandas

SciPy

Scikit-learn

Git

Job description

CranioSense is seeking a Bachelor’s or Master’s-level Data Science & Signal Processing Intern to support preparation and transformation of physiological waveform and sensor datasets. The intern will write Python/Matlab code for data conditioning, feature extraction, and quality inspection under the VP of Data Science and other technical leads.

The role involves exploring multi-site PPG data, transforming waveforms into reproducible features, and collaborating across data science, product,