Job Description

Job Description

Job Description

We are looking for Biomedical Engineer for our client in Boston, MA

Job Title: Biomedical Engineer

Job Location: Boston, MA

Job Type: Contract

Job Description:

Pay Range: $55.57hr - $60.57hr

Responsibilities:

• Collaborate with senior Biomedical Engineer members to conduct testing over multiple digital health technologies (DHTs) and integrate biomedical data into advanced analytics platforms.
• Design, develop, and maintain data pipelines and workflows to process biomedical datasets.
• Utilize Python and R for data wrangling, analysis, and visualization to support research and development initiatives.
• Apply principles of biomedical engineering to solve problems related to signal processing, imaging, and physiological data interpretation.
• Ensure the quality, security, and scalability of biomedical data solutions.
• Perform exploratory data analysis and generate insights to inform product development and clinical research.
• Stay updated on emerging technologies and methodologies in biomedical data engineering and analytics.
• Assist in managing and setting up in-house evaluation tests, including scheduling sessions and monitoring participants.
• Manage the lab space and equipment, handling the shipping and receiving of numerous devices.
• Support data preparation and analysis for in-house evaluations and user acceptance tests (UATs).

Must Have:

• Bachelor’s or Master’s degree or equivalent experience in Biomedical Engineering, Electrical Engineering, Mechanical Engineering or a related field.
• Demonstrated experience in data analysis and visualization with Python and R, using frameworks and tools such as Pandas, NumPy, tidyverse, etc.
• Excellent problem-solving skills with a strong analytical mindset.
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Strong organizational and teamwork skills in a fast-paced, collaborative environment.

Nice to Have:

• Knowledge of cloud-based platforms (e.g., AWS, Azure, or Google Cloud).
• Strong understanding of biomedical signal processing and/or imaging technologies.
• Hands-on experience in analyzing biomedical data (e.g., ECG, accelerometer, PPG, or other physiological signals).
• Experience with the design and management of experiments with wearable sensors and human subjects.
• Familiarity with databases (SQL and NoSQL) and data management tools.
• Demonstrated experience in data engineering, including designing and managing ETL pipelines.

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