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Exemption Status:

Exempt

Schedule Details:

Monday through Friday

Scheduled Hours:

8:30 - 5:00

Shift:

1 - Day Shift, 8 Hours (United States of America)

Hours:

40

Cost Center:

99940 - 5825 Data Management

This position may have a signing bonus available a member of the Recruitment Team will confirm eligibility during the interview process.

Everyone Is a Caregiver

At UMass Memorial Health, everyone is a caregiver – regardless of their title or responsibilities. Exceptional patient care, academic excellence and leading-edge research make UMass Memorial the premier health system of Central Massachusetts, and a place where we can help you build the career you deserve. We are more than 16,000 employees, working together as one health system in a relentless pursuit of healing for our patients, community and each other. And everyone, in their own unique way, plays an important part, every day.

I. Major Responsibilities: 

1. Supports and prepares reports and analyses for the management team and Senior Data Scientists for Population Health analytics projects by working closely with internal, affiliate and community-based customers and executives, Information Services (IS) staff, project managers, program directors, and other OCI teams to turn data into critical information/knowledge that can be used to make sound organizational decisions. 
2. Follows through on process improvement and evaluation opportunities to increase the efficiency of the reporting process. Applies advanced statistical and/or predictive modeling techniques to improve multiple real-time, people-centric (dynamic) systems.
3. Combines seemingly unrelated data concepts to identify trends and to solve complex problems.
4. Works with Senior Data Scientists to design experiments and tests hypotheses to support quality and/or financial performance improvement initiatives.  Evaluates options to complex problems by using mathematics and statistical methods.
5. Leads process discovery sessions to define operation definitions for data and identify stakeholder’s requirements for work in an ambiguous, constantly changing environment.
6. Integrates and prepares large, varied datasets, architecting specialized databases and computing environments from disparate data sources, and specifically with Epic.  
7. Investigates program requirements as they are rolled out, determines optimal data sources and processes to stand up analytics to support these programs.
8. Creatively develops and proposes innovative ways to look at problems by using data mining approaches on the set of information available. 
9. Validates findings using an experimental and iterative approach.
10. Prepares reports for internal and external stakeholder groups and validates the work in a way that can be easily understood 
11. Develops processes and tools to monitor and analyze model performance and data accuracy.  Strong data visualization skills needed.

Standard Staffing Level Responsibilities:

1. Complies with established departmental policies, procedures, and objectives.
2. Attends variety of meetings, conferences, seminars as required or directed.
3. Demonstrates use of quality improvement techniques in daily operations.
4. Complies with all health and safety regulations and requirements.
5. Respects diverse views and approaches, demonstrates Standards of Respect, and contributes to creating and maintaining an environment of professionalism, tolerance, civility and acceptance toward all employees, patients, and visitors.
6. Maintains, regular, reliable, and predictable attendance.
7. Performs other similar and related duties as required or directed.

All responsibilities are essential job functions.

II. Position Qualifications:

License/Certification/Education:
Required:
1. Master’s Degree in Mathematics, Statistics, Engineering, Computer Science, Data Sciences, Social Sciences, Business Administration or equivalent field required within 12 months of hire.

Experience/Skills:
Required:
1. Experience working with data from the financial, healthcare, software  or equivalent industry in a function utilizing advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper