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Senior Data Scientist & Data Engineer, Radiology AI Function Leader

Company: Dana-Farber Cancer Institute
Location: Boston
Posted on: June 12, 2021

Job Description:


We are seeking an intelligent, hard-working, and dynamic individual to serve as a Senior Data Scientist & Data Engineer who would lead the Radiology AI within Dana Farber's AI Operations and Data Science Services group -- a group in the department of Informatics & Analytics that is serving some of the most prominent research and clinical programs at the Institute, from basic to translational research, to clinical deployment, and operationalization. The group encompasses expertise in AI, data science, machine learning, computer vision, NLP, production deployment, cloud infrastructure, data engineering, project management standards, and data labeling. The group seeks to develop a highly interdisciplinary environment supporting our research, clinical and operational staff and advance the overall mission of DFCI, which is to provide expert, compassionate care to children and adults with cancer while advancing the understanding, diagnosis, treatment, cure, and prevention of cancer and related diseases. As we widen our support of several crucial centers and programs at DFCI, we are seeking an energetic and motivated Senior Data Scientist & Data Engineer to head our Radiology AI functional area and improve our Radiology AI offering. This involves managing several Radiology AI projects where you will be responsible for transforming DICOM and other radiology data into useful features and use state-of-the-art AI techniques to help improve patient care and/or impact cancer research at scale. The successful candidate will have proven experience in working on large, complex projects, meeting deadlines, and will have excellent oral and written communication skills.


  • Managing an internal research client that requires extensive radiology AI and data processing for cancer research
  • Meeting and consulting scientists requiring radiology AI support and designing plans and solutions
  • Delivery of results for projects on-time and on-budget
  • Working as part of the broader team to identify long-term solutions that will improve the quality, speed and efficacy of our current projects and programs
  • Evaluating and benchmarking new libraries
  • Prototype and pipeline development
  • Excellent communication and effective problem-solving skills, track record in serving a variety of diverse customers and projects
  • Ability to quickly learn new software tools and provide feedback/recommendations to clients
  • Ability to work independently, prioritize, and manage people if needed, within an environment with ever changing priorities
  • Demonstrate excellent soft-skills, such as excellent oral and written communication skills
  • Technical supervision and coordination of people in the Radiology AI function: ~3 personnel at various levels


  • Deep AI / data science skills, at the interface between computer science and statistics
  • MS in quantitative field such as data science, computer science, applied mathematics, or equivalent experience with evidence of impact in data science applied to real life problems (eg, some quant master courses AND experience in data science internship) in a research setting ideally within a clinical or research environment
  • Knowledge of Python is required
  • Experience mentoring or supervising junior personnel is required
  • Preferred 1 to 5 years of experience post MS or PhD
  • DICOM and radiology AI experience required
  • Slicer3D experience preferred, possibly also within its plug-in framework
  • Jupyter Lab, linux, and git experience required
  • Google Cloud Platform experience preferred
  • Experienced in data science methodologies and techniques, e.g. hypothesis testing, classification, regression, clustering, feature allocation, deep learning, time-series analysis, network modeling, feature selection/engineering.
  • Prior experience with clinical or fundamental/basic research preferred

Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other groups as protected by law.

Keywords: Dana-Farber Cancer Institute, Boston , Senior Data Scientist & Data Engineer, Radiology AI Function Leader, Other , Boston, Massachusetts

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