Watson Health - Data Scientist Summer Intern, Content Dev - Explorys

Job description

IBM Watson Health business, provides the healthcare industry a protected, cloud-based analytics platform that harnesses big data for clinical integration, predictive analytics, and business intelligence. Its platform empowers the country's leading provider organizations to more effectively utilize their data to improve care quality, patient satisfaction, and deliver value-based care. Watson Health is working to enhance, scale, and accelerate health and wellness, and to facilitate collaboration across the community of care. The Explorys solution supports Population Health Management and Accountable Care models while applying the power of massively-parallel data processing to help save lives and make healthcare more affordable.

Purpose & Summary:
Investigate quality measure validity and feasibility on the IBM Explorys healthcare data platform. Work on new projects alongside other members of Innovations, which is a cross-functional, highly collaborative team that works closely with client services, account management, software development, and product management.

Essential Functions:
·  Evaluate quality measures from organizations like the National Quality Forum (NQF), Inpatient Quality Initiative (IQI), and the Centers for Medicare and Medicaid Services (CMS)
·  Author quality measures using the Explorys Measure Definition Language (MDL), an XML programming language
·  Validate measure results when applied to real-world healthcare data at scale Preferred Knowledge, Skills, and Abilities:
·  Proficient in SQL
·  Programming experience in at least one development language (Python, Java, Ruby, etc.)
·  Communications Skills – Effective at working independently and in collaboration with other staff members
·  Capable of clearly presenting findings orally and in writing
·  Analytical Skills – Able to compare, contrast, and validate work with keen attention to detail
·  Skilled in working with “real world” data including scrubbing, transformation, and imputation
·  Problem Solving Skills – Able to plan work, set clear direction, and coordinate own tasks in a fast-paced multi-disciplinary environment.
·  Expert at triaging issues, identifying data anomalies, and debugging software
·  Available to be in Cleveland, Ohio area June through August 2017
Auto req ID

82665BR
Required Education

High School Diploma/GED
Role ( Job Role )

Student/Intern
State / Province

OHIO
Primary job category

Other
Contract type

Regular
Employment Type

Full-Time
Is this role a commissionable/sales incentive based position?

No
Travel Required

No Travel
IBM Business Group

Watson Health
Preferred Education

None
City / Township / Village

CLEVELAND
EO Statement

IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Required Technical and Professional Expertise

·  Completed college courses in a clinical and/or technical area, such as computational biology, bioinformatics, computer science, nursing, or related fields
·  Programming experience in at least one development language (Python, Java, Ruby, etc.)
·  Available to be in the Cleveland, Ohio are June through August 2017
Skill-keywords

Analytics, MapReduce, Data Science, Java, Phython, SQL, Predictive Models, Health Care, machine learning, analytics
Country

United States
Preferred Technical and Professional Experience

·  Proficient in SQL
·  Communications Skills – Effective at working independently and in collaboration with other staff members
·  Entry level (no prior job-related experience required), but prior exposure to healthcare informatics projects is desirable
·  Capable of clearly presenting findings orally and in writing
·  Analytical Skills – Able to compare, contrast, and validate work with keen attention to detail
·  Skilled in working with “real world” data including scrubbing, transformation, and imputation
·  Problem Solving Skills – Able to plan work, set clear direction, and coordinate own tasks in a fast-paced multi-disciplinary environment.
·  Expert at triaging issues, identifying data anomalies, and debugging software
Secondary Job Category

Unassigned
Eligibility Requirements

·  none