R&D Algorithm Engineer – Health Technologies

Job Title

You will develop algorithms that incorporate multiple continuous biomedical signals into relevant insights. You will develop tools to enhance signal and subtract out common noise artifacts, as well as extract insights from continuous biomedical signals (features, events, and trends) both off-line and in real time.

You will be engaged in solving problems that currently do not have well defined solutions and you'll take the reins to own and steer your deliveries, while also supporting others in a fast-paced, encouraging, and dynamic environment.

• 4+ years of experience working with physiological signals (extracting, cleaning, and analysis of datasets). Domain knowledge of cardiovascular system and hemodynamics is a plus.
• Experience working with complex data sets that have limited sample sizes.
• Strong background in exploratory and statistical data analysis. Knowledge of design of experiments is a plus.
• Experience in developing algorithms that handle time-series data, which can include but not limited to training and evaluating machine/deep learning models (e.g. tree-based models, LSTM, recurrent neural networks).
• Excellent fluency in a high-level programming language (Python, C/C++ and/or Matlab)
• Knowledge of common ML frameworks (scikit-learn, pandas and deep learning toolboxes such as Tensor Flow, PyTorch, Caffe, etc) is a plus.
• Experience in one or more of the following is a plus: signal processing, multimodal sensing, sensor fusion, time series, time-frequency analysis, and dynamical systems
• Masters/PhD in Biomedical Engineering, Electrical Engineering, Computer Science, Mathematics, Physics, or related fields or equivalent work experience.

• Expected to perform well in a fast-paced environment, to execute on the tasks assigned, to meet the production deadlines and, at the same time, to explore independently new innovative ideas.
• Ability to communicate highly technical results and methodologies along with working cross-functionally with a wide range of people
• Ability to review literature related to projects and integrate relevant information.
• Knowledge of medical instrumentation is a plus