Biomedical Research Scientist – Health and Wellbeing
| Company | Meta |
|---|---|
| Location | Burlingame, CA, USA |
| Salary | $147000 – $208000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Master’s or PhD in biomedical engineering or equivalent, with relevant coursework and experience in signal processing, sensor development, and experimentation
- Master’s degree with 8+ years of experience or PhD with 5+ years of experience
- Experience programming in Python, developing well-documented code and familiarity with software development requirements
- In-depth subject matter knowledge of digital health research projects
- Experience working in interdisciplinary research and/or product development teams
Responsibilities
- Work with biomedical sensors and systems to collect and analyze physiological data (specifically, time series multimodal data) for characterizing health and wellness applications
- Develop and implement signal processing, data analysis, and data visualization using keen understanding of physiology, physical systems and statistics
- Develop methods and standard operating procedures involving lab instrumentation and prototype bring up for data collection in order to test features, algorithms or models
- Design and execute studies with engineering test protocol and report to validate algorithms for biomedical applications
Preferred Qualifications
- Understanding of human physiology and prior research experience in the field of health is highly desired
- Direct industrial experience in consumer/digital health and wellbeing product development and/or research, with demonstration of success working within and across multi-disciplinary teams (for example, project or product managers, software engineers, research scientists, machine learning data scientists)
- Experience in PyTorch, Numpy and Pandas
- Experience in developing specialized software tools for biomedical measurement data
- Familiar with data pipeline and data investigations