Data Scientist

| Greater NYC Area | Hybrid
Sorry, this job was removed at 1:54 p.m. (EST) on Thursday, December 10, 2020
Find out who's hiring in Greater NYC Area.
See all Data + Analytics jobs in Greater NYC Area
Apply
By clicking Apply Now you agree to share your profile information with the hiring company.

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.
 
For the 30th year, MSK has been named a top hospital for cancer by U.S. News & World Report. We are proud to be on Becker’s Healthcare list as one of the 150 Great Places to Work in Healthcare in 2019, as well as one of Glassdoor’s Employees’ Choice Best Place to Work for 2019. We’re treating cancer, one patient at a time. Join us and make a difference every day.

Job Description

As part of MSK's new and exciting digital transformation, we are hiring enthusiastic data analyst team members to build and deliver a one-of-a-kind data facility. You'll have the chance to work with clinicians and researchers to achieve the goal of translating institutional information into meaningful insights in order to improve patient care, hospital operations, and clinical research.

About us – Unified Data Fabric

We are developing one of the most robust oncology data ecosystems in all of healthcare, the Unified Data Fabric. The integration of clinical, genomic, operational, and financial data will lead to countless insights, through the integration of high quality, authoritative, discrete, unstructured, streaming, and imaging data, by way of creating a unique and unprecedented healthcare data platform. This data platform will be a combination of cloud and on-prem technologies and will be built on state-of-the-art architecture that includes APIs, object stores, data streaming, image processing, DBMS pipelines and data warehousing technologies, with a foundation of enterprise data governance and stewardship practices including advanced semantics and machine learning to generate more data of value within the Unified Data Fabric.

What you'll be doing:

  • Participating in full SAFe development life cycle eg. performing analysis, designing, sourcing and standardization, sophisticated data quality, building, releasing, and maintaining data pipelines for ingestion and propagation of imaging, genomic, and clinical data
  • Working collaboratively on an agile product team with architects, engineers, scrum masters, product owners, and business owners
  • Partnering with the business to identify, define and standardize data for the clinical, research and administrative parts of the organization
  • Developing APIs and data pipelines to build UDF
  • Crafting efficient and reusable modularized components that drive complex applications
  • Mentoring and providing guidance to junior colleagues and new team members

Our ideal candidate is:

  • A senior level data analyst/architect with experience in data governance and stewardship, specifically ontologies, data quality, or data concept modeling and mapping
  • Solid understanding of data analysis tools, with data science preferred
  • Passionate about data and creating new solutions to empower cancer care and research
  • Strong knowledge of programming languages, ETL tools and their administration, and exposure to relational/non-relational databases OR
  • Bonus: familiar with Cloud providers and Knowledge agile methodologies i.e. SAFe a strong plus

Benefits

Competitive compensation packages | Generous Vacation, Sick time + 12 holidays to recharge & refuel | Internal Career Mobility & Performance Consulting | Medical, Dental, Vision, FSA & Dependent Care | 403b retirement savings plan match | Tuition Reimbursement | 12 Weeks Maternity/Paternity & Adoption Assistance | Commuter Spending Account | Fitness Discounts & Wellness Program | Resource Networks | Life Insurance & Disability | Remote Flexibility

 

We believe in communication, transparency, and thinking beyond your 8-hour day @ MSK. It’s important to us that you have a sense of impact, community, work/life balance and personal well-being to be and feel your best.

 

Our Hiring Process

You read the ad, agree it sounds like a great fit & apply -> Talent Acquisition contacts you to schedule a phone interview if your profile aligns and/or start the process with a tech assessment, max 45 min online -> after speaking with the Talent Acquisition Specialist, you will connect with the Hiring Manager by phone or video call -> if your experience is a fit, you will move forward to an on-site visit with the team -> post-interview feedback -> ideally an offer! -> reference check & onboarding -> orientation & official welcome to MSK

 

 

#LI-POST

 

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.  

 

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.

 

Read Full Job Description
Apply Now
By clicking Apply Now you agree to share your profile information with the hiring company.

Location

1275 York Avenue, New York, NY 10065

Similar Jobs

Apply Now
By clicking Apply Now you agree to share your profile information with the hiring company.
Learn more about Memorial Sloan Kettering Cancer CenterFind similar jobs