400 N Aberdeen St, STE 575
Data Science Chicago, IL 60642
Intern
Contact:
Job Description
Position Overview
As part of our data science team, you will work with large datasets to drive real-time insights into patient health
via diagnostics and continuous patient monitoring. This is a unique opportunity to apply your data science skills to
improve patient outcomes and shape the future of healthcare.
Specific responsibilities include but are not limited to the following:
Work with raw sensor data sets stored on AWS, performing data cleaning, transformation, feature extraction, and model building.
Collaborate with R&D engineers and clinical team members to integrate data-driven insights into wearable sensor technologies.
Contribute to the optimization/deployment of ML pipelines for real-time monitoring
Conduct research on ML practices in healthcare and support the exploration of new machine learning
techniques for future platform indications.
Required Qualifications
Education and Experience
● Pursuing a degree in Data Science, Computer Science, or related
Skills / Knowledge
Pursuing a degree in Data Science, Machine Learning, Computer Science, or related
Familiarity with data cleaning, feature engineering, and ML model building
Python proficiency & familiarity with ML frameworks like TensorFlow, PyTorch, Sk-learn.
Strong analytical and problem-solving skills.
Excellent communication and teamwork skills.
Passion for using data to drive healthcare innovation and improve patient care.
Page 1
400 N Aberdeen St, STE 575
Data Science Chicago, IL 60642
Intern
Contact:
Desired Qualifications
Competitive candidates will have relevant technical experience through coursework, research, and/or industry
experience with one or more of the following:
Familiarity with cloud platforms such as AWS for data storage and processing.
Time series signal processing analysis techniques
Experience with data science libraries in Python (Pandas, Numpy, SciPy, Matplotlib)
Understanding of machine learning algorithms and their application to time-series data.
Familiarity with sensor data, healthcare data, or remote monitoring systems is a plus.
Other
Work Location: Evanston, IL.
This opportunity supports both full-time and part-time capacities starting Fall 2024.
o Interested candidates may also apply for Spring/Summer 2025 positions
How to Apply:
● Interested candidates should submit a resume to . Please include your name and
"Data Science Intern" in the subject line.
Page 2
Job Type: Remote, Part-Time, Full-Time, Internship, Permanent