Data Scientist

Principal Duties and Responsibilities

  • Lead research projects aimed at using clinical data to improve healthcare.
  • Conceptualize and develop machine learning-empowered products.
  • Interface with physicians to help answer important clinical questions based on medical imaging, pathology, and electronic health record data.
  • Design frameworks for interfacing between health IT systems and research workflows.
  • Work with academic collaborators to understand needs and implement cutting edge algorithms with machine learning.
  • Use the Partners HealthCare values to govern decisions, actions and behaviors. These values guide how we get our work done: Patients, Affordability, Accountability & Service Commitment, Decisiveness, Innovation & Thoughtful Risk; and how we treat each other: Diversity & Inclusion, Integrity & Respect, Learning, Continuous Improvement & Personal Growth, Teamwork & Collaboration.
  • Other duties as assigned.


  • PhD or equivalent combination of experience and education (i.e. Masters degree and 4+ years of experience) in a quantitative field (i.e. engineering, computer science, physics, mathematics)
  • 2+ years of experience in data analysis, signal processing, modeling, and machine learning.
  • Strong technical skills are a must, including:
  • Expert level knowledge in a scripting language such as Python and an object-oriented programming language such as C++
  • Familiarity with common tools for data management and analysis including machine learning (i.e. Tensorflow, Theano, Torch), distributed computing (i.e. Hadoop, Spark), database software (SQL or variants), and general scientific computing

Skills/Abilities/Competencies Required

  • Excellent interpersonal skills to effectively communicate with cross functional teams including staff at all levels of the organization including both technical and non-technical personnel
  • Exceptional problem solving and negotiation skills
  • Self-motivated, independent and possesses the ability to learn quickly
  • Ability to successfully negotiate and collaborate with others of different skill sets, backgrounds and levels within and external to the organization