Job Description

Are you an internal caregiver, student, or contingent worker/agency worker at UMass Memorial Health? CLICK HERE to apply through your Workday account.

Exemption Status:

Exempt

Schedule Details:

Monday through Friday

Scheduled Hours:

8:00am - 4:30pm

Shift:

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

Hours:

40

Cost Center:

99940 - 5822 Performance Reporting

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.

Under the direction of the Office of Clinical Integration (OCI) Management team, supports and prepares the interpretation and program evaluation of performance improvement opportunities through the use of statistical, algorithmic, mining, and visualization techniques. Collaborates at all levels of the organization to accomplish the value-based program goals and UMass Memorial Health Care (UMMHC) enterprise strategic goals and objectives.

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.
JOB IS FROM: italents.netVIEW5. 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.

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 usage, etc.).  
2. Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
3. Experience with statistical and data mining techniques.
4. Experience in developing processes and tools to monitor and analyze model performance and data accuracy.
5. Experience using statistical software such as SAS, IBM SPSS.
6. Experience with Data Visualization/presentation skills and experience with Tableau.
7. Excellent written and verbal communication skills.
8. Ability to work in a team environment.

Preferred:
1. Coding knowledge and experience with several languages (e.g. C, C++, Java, JavaScript).
2. Experience working with and creating data architectures.
3. Knowledge of machine learning techniques.
4. Understanding of medical terminology and healthcare finance.
5. Experience working with Optum Performance Analytics, medical claims data.
6. Experience working with Epic as a data source for analytical work.

Unless certification, licensure or registration is required, an equivalent combination of education and experience which provides proficiency in the areas of responsibility listed in this description may be substituted for the above requirements.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

We’re striving to make respect a part of everything we do at UMass Memorial Health – for our patients, our community and each other. Our six Standards of Respect are: Acknowledge, Listen, Communicate, Be Responsive, Be a Team Player and Be Kind. If you share these Standards of Respect, we hope you will join our team and help us make respect our standard for everyone, every day.

As an equal opportunity and affirmative action employer, UMass Memorial Health recognizes the power of a diverse community and encourages applications from individuals with varied experiences, perspectives and backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, protected veteran status or other status protected by law.

If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentacquisition@umassmemorial.org. We will make every effort to respond to your request for disability assistance as soon as possible.