Aug 20, 2023
The Data Analysis intern will work with the engineering team to shape and analyze the output of our machine learning models. They will prepare raw unprocessed electrocardiogram signal data and translate it into machine readable data to power our algorithms.
Activities include:
Annotate and clean unprocessed ECG data into machine-readable formats
Analyze the results of new data as it processes through ML algorithms
Identify new sources of ECG data and collect for analysis
Manage overall dataset and propose improvements
Help to form partnerships that allow SafeBeat to access and broker data to other companies
Work closely alongside engineering team & CTO
Candidate Requirements:
Currently enrolled full-time in an undergraduate program, or enrolled full-time in a graduate program (M.S., M.E., MBA, Ph. D., or M.D.), pursuing a degree majoring in a scientific, business, technology, engineering, or law related field
Candidate must be legally authorized to work in the United States and not require sponsorship for employment visa status (e.g., H1-B status) now or in the future
Candidates should have strong oral and written communication skills
Able to work individually, as well as, part of a group, with curiosity and flexibility
Possess a “can do” approach, and courage to speak your voice and suggest innovative ideas
Interested in working in a small startup environment
Familiarity with ECGs, medical workflows, and software product development is beneficial
Experience with python is beneficial
Why you should join SafeBeat Rx
At SafeBeat Rx (YC S21), we are building ECG software that powers a hospitalization at home. Our take-home solution helps patients to get care at home, by combining FDA-cleared wearables with our ECG softwares that catches heart rhythm changes very quickly to allow for clinical decision making. By joining our team, you will have a direct impact on millions of patients’ lives.
If our mission and product excite you, we would love to connect.