Department of Informatics and Analytics, Data Science & AI Internship
Boston, Massachusetts, United States - Remote
Applications have closed
Dana-Farber Cancer Institute
Dana-Farber Cancer Institute in Boston, MA, is a world leader in adult and pediatric cancer treatment and research. Our oncologists and cancer researchers practice and develop some of the most advanced cancer treatments in the world.The Department of Informatics and Analytics at Dana-Farber Cancer Institute seeks motivated and talented artificial intelligence and data science interns for our expanding data science team. Successful candidates will have the opportunity to contribute on high-impact healthcare projects existing at the cutting edge of cancer research and clinical care.
The Basics
- This role is intended to begin as a part-time (10 hours per week) position in early 2023 and transition to full-time (40 hours per week) by June 2023 and last until mid-to-late August.
- We are currently seeking to fill 3 internship position
- This position will be remote.
- Some flexibility in the overall timing is possible, but you should expect it to be as close to the stated format as possible.
What You’ll Do
- Internship projects will be scoped according to mentorship expertise, present Informatics and Analytics needs, and the applicant’s unique skills and interests. Fundamentally, our team sits at the intersection of research and the clinic, and you can expect to work on a project that will have an impact in both areas to some degree.
Qualification
- Excellent problem-solving skills and a record of successfully taking on new challenges.
- Ability to work independently and communicate effectively within an interdisciplinary environment that includes data scientists, physicians, researchers, and engineers.
- Demonstrated programming experience with Python.
- Comfort utilizing the command line and version control within a team setting is preferred.
- Familiarity with core data science methodologies and techniques, such as hypothesis testing, classification, regression, clustering, feature allocation, deep learning, time-series analysis, natural language processing, and feature selection/engineering.
- Experience working with data at scale or using cloud services is preferred.
- Must have completed or currently in Masters or PHD program
Deadline
- Applications close February, 28, 2023
Contact
- If you have any further questions please send an email and a short description to:
- datascienceandaiintershipininformaticsdept@partnershealthcare.onmicrosoft.com
- datascienceandaiintershipininformaticsdept@partnershealthcare.onmicrosoft.com
- Please use the subject line:
- Informatics and Analytics Data Science Internship - [YOUR NAME]
Tags: Classification Clustering Deep Learning Engineering NLP PhD Python Research Testing
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