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.

In compliance with applicable New York and New Jersey State regulatory authorities, COVID-19 vaccination (2 doses of either the Pfizer or Moderna vaccine or one dose of the Johnson & Johnson vaccine) is mandatory for all MSK employees, contingent workers, and volunteers. Exceptions are permitted for those employees who request and receive an approved medical or fully remote exemption.

*Staff working at a MSK New Jersey location must be up to date with COVID-19 vaccination, which includes having completed the primary COVID-19 vaccination series and booster once eligible as mandated by New Jersey State. All New Jersey staff not yet eligible for a booster must receive a booster within 3 weeks of becoming eligible as a condition of continued employment at MSK.

Note: Individuals are eligible to receive a COVID-19 booster five months after receiving the second dose of either the Pfizer or Moderna vaccine or two months after the J&J vaccine.

Job Description

We're excited to recruit a Data Engineer to join our team! This is a rare opportunity to build in a diverse environment of academics and practitioners who excel at researching surgical outcomes and treating cancer.

You'll be working alongside a team of statisticians and programmers reporting up to Andrew Vickers, a top cancer researcher, in the Health Outcomes Group within the Dept of Epidemiology and Biostatistics. This role requires knowledge of building packages and creating workflows to better process data. In this role, you'll further develop a suite packages that standardize data cleaning and vetting, issue logging, and data querying and processing of routine institutional fields. Additionally, you'll work on analytic packages that codify a risk-adjusted approach to quality-assurance. Further, you'll expand support documentation and unit tests associated with these packages to ensure robust functionality throughout updates.

This is a high-impact role that provides you the opportunity to identify and automate routine tasks through the design of new toolsets, apply well-founded statistical approaches programmatically, and ultimately help providers achieve consistent, high-quality results for patients.

Our products:

Some of the work we do has been featured in the press. See: https://www.wired.com/2014/12/should-surgeons-keep-score/

2. Advance Reports: Advance report is a data visualization tool crafted for patients and clinicians. It uses patient-reported outcomes data and statistical analysis combined with customized user-centered design to build bespoke engaging visualizations and predictive analytics to support patient recovery. It communicates the patient story and answers questions such as "When will I recover after surgery?"

You will:

• Architect efficient and reusable data processing systems that drive sophisticated applications and help maintain the quality of the data processing pipelines across the systems. Work on analytic packages that codify a risk-adjusted approach to quality-assurance.
• Provide technical leadership for development projects.
• Serve as primary point of contact to debug, troubleshoot, and resolve data platform issues.
• Design and update R package workflow utilities to support the sustainable, scalable implementation of provider-led quality assurance initiatives.
• Build and maintain tools to help providers assess their performance, including a web-based data visualization application as well as resources developed via utilities such as Shiny Apps, R Markdown, and Tableau.
• Work closely with providers and service data teams to design feedback reports and query, vet, and communicate findings on endpoints of significant clinical value, using SQL, R, and project management and data visualization abilities.
• Have clinical exposure and the opportunity to work closely with doctors and clinicians from diverse clinics.
• Receive unparalleled training and experience in one of the most productive and innovative groups in one of the world's leading medical research institutions.

You need:

• Prior professional experience creating reliable utilities to support data-driven initiatives. 2-4 years of programming experience.
• Package development experience in R. Comparable experience working in Python or similar will be considered.
• A bachelor's degree in computer science, engineering, applied math or equivalent in quantitative field.
• Additionally, interested in hearing about experience:
• Programmatically crafting visual representations of data
• Programming in SQL
• Writing unit tests
• Managing projects in git and GitHub
• Developing in an Agile environment

A passion for:

• Using data to understand and improve health care
• Tackling new coding tasks/languages
• Doing sanity checks on data and results
• Debugging/troubleshooting
• Self-directed learning

Hours: M-F, 9-5, Hybrid, 485 Lexington

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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.

Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.