Data Scientist

The Abiomed Applied Research group is a team of scientists and engineers building a new generation of Impella “Smart Pump” devices. We are currently hiring a Data Scientist to lead or contribute to the design and implementation of new machine learning algorithms that guide treatment decisions and improve patient outcomes. These algorithms will play a central role in the pursuit of Abiomed’s mission of recovering heart and saving lives. We are looking for a creative self-starter who thrives in a continuously growing data environment and enjoys a fast-paced, dynamic research group.

Responsibilities

• Responsible for end-to-end development of machine learning algorithms
• Design new statistical and physiological features for time series data
• Evaluate algorithm performance in offline (in silico) and live (in vitro, in vivo) environments
• Collaborate with software teams to implement algorithms on embedded hardware
• Maintain concise descriptions of algorithm design specifications and performance evaluations
• Perform variability analyses for model optimization
• Quantitatively and qualitatively evaluate new ML/AI techniques and integrate into algorithm design
• Communicate algorithm designs and performance results to cross-functional stakeholders
• Attend scientific conferences and act as a data science ambassador for the organization

Job Requirements

• MS or BS in computer science, data science, or equivalent technical field; with relevant academic or industry projects.
• Demonstrated capability in machine learning techniques (e.g. classification, regression, clustering, sequence generation, forecasting, reinforcement learning, Markov modeling, or Bayesian statistics)
• Proficient in Python. Experience in one or more development packages such as Sklearn, Keras/Tensorflow, PyTorch, or Theano
• Willing to travel 5-10% of the time to meet with customers to gather user needs and assess product performance, and attend scientific conferences

Experience with the following is strongly preferred:

• APIs & cloud computing platforms (Microsoft Azure or AWS)
• Embedded software (C/C++ or equivalent)
• Medical devices and electronic health record data

 General Requirements

• Superb communication and collaboration skills – comfortable operating within and outside a core team and presenting progress to company leadership
• Demonstrated excellence of analytical thinking in one or more technical fields
• Self-motivated and good team player
• Willing to learn and explore new technologies
• Independent, efficient, and able to manage several concurrent projects