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Data Engineer

Data Engineer

Cynet SystemsBoston, MA
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Job Description :

Pay Range : $62.62hr - $66.62hr

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).

Qualifications 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 experiment 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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    Data Engineer • Boston, MA