Data Engineer Internship, Supply Chain Informatics
Company Overview
At Memorial Sloan Kettering (MSK), we’re not only changing the way we treat cancer, but also the way the world thinks about it. By working together and pushing forward with innovation and discovery, we’re driving excellence and improving outcomes. We’re treating cancer, one patient at a time. Join us and make a difference every day.
Job Description
Summer 2021 (100% Remote)
Start timing between May 10th – July 19th 2021
End timing flexible (runs as late as August 31st, 2021)
Preferred Skills:
- Some programming experience (preferably Python)
- Linux
- SQL
- AWS
High Level Projects:
- Onboard new data sources
- Writing ETL Scripts
- Web Scraping
- Working with APIs
- Building resources in the Cloud Environment (Infrastructure as Code)
- Creating Python Libraries/Packages
Compensation:
Contingent on applicant experience.
About Supply Chain Informatics:
The Supply Chain Informatics (SCI) Department at MSK strives to be an industry leader in Healthcare Supply Chain. We believe patients come first. Our work is focused on continuous improvement across the processes, data, and systems needed to get what our patients need, when they need it, and how they need it. Specifically, we drive efforts to standardize and automate processes across hospital operations by extracting data for modeling and analysis, developing code for automation (SQL, Python), and managing cloud computing infrastructure (AWS, Microsoft Azure) to advance our operational capabilities (blockchain, machine learning). We also implement, maintain, and support MSK’s operational and financial software applications.
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Closing
MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.
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