Senior Healthcare Data Scientist / UMMS
Facility: University of Maryland Medical System
Employment Type: Full Time
Location: Linthicum Heights, MD Shift/Schedule: DAY
Department: CRP: DATA DRIVEN OUTCOMES
Posted FTE: 1.0
Job Posting Category: Professionals
Hours of Work: M-F, 8a-5p
Job ID #: 43848
Benefits Eligible: Yes
Minimum Education: Master's degree
License/Cert Required: Not Indicated
Minimum Experience: 7 years
Specialty Type: Not Applicable
What You Will Do:
The University of Maryland Medical System is a 12-hospital system with academic, community and specialty medical services reaching every part of Maryland and beyond. UMMS is a national and regional referral center for trauma, cancer care, Neurocare, cardiac care, women's and children's health and physical rehabilitation. UMMS is the fourth largest private employer in the Baltimore metropolitan area and one of the top 20 employers in the state of Maryland. No organization will give you the support, or the opportunities for professional growth that you’ll enjoy as a member of our team. UMMS is currently seeking a Senior Healthcare Data Scientist for our Corporate location.
***Master’s Degree in Applied Mathematics, Physics, Computer Science, Engineering, Statistics or related field (or equivalent experience) and 7+ years of Machine Learning and/or Predictive Analytics experience is REQUIRED***
The Senior Healthcare Data Scientist position will join our newly formed advanced Analytics group at the University of Maryland Medical System (UMMS) in support of its strategic priority to become a data-driven and outcomes-oriented organization. The successful candidate will have 7+ years of experience with Machine Learning and Predictive Modeling and a passion for working with healthcare data. Previous experience with various computational approaches along with an ability to demonstrate a portfolio of relevant prior projects is essential. This position will report to the UMMS Vice President for Enterprise Data and Analytics (ED&A).
Principal Responsibilities and Tasks
1. Develops predictive and prescriptive analytic models in support of the organization’s clinical, operations and business initiatives and priorities.
2. Deploys solutions so that they provide actionable insights to the organization and are embedded or integrated with application systems
3. Support and drive analytic efforts designed around organization’s strategic priorities and clinical/business problems
4. Works in a team to drive disruptive innovation, which may translate into improved quality of care, clinical outcomes, reduced costs, temporal efficiencies and process improvements.
5. Builds and extends our analytics portfolio supported by robust documentation
6. Works with autonomy to find solutions to complex problems using open source tools and in-house development
7. Stays abreast of state-of-the-art literature in the fields of operations research, statistical modeling, statistical process control and mathematical optimization
8. Creates, communicates, and manages the project plans and other required project documentation and provides updates to leadership as necessary
9. Develops and maintains relationships with business, IT and clinical leaders and stakeholders across the enterprise to facilitate collaboration and effective communication
10. Works with the analytics team and clinical/business stakeholders to develop pilots so that they may be tested and validated in incubator settings
11. Performs analysis to evaluate primary and secondary objectives from such pilots
12. Assists leadership with strategies for scaling successful projects across the organization and enhances the analytics applications based on feedback from end-users and clinical/business consumers
13. Assists leadership with dissemination of success stories (and failures) in an effort to increase analytics literacy and adoption across the organization.
Employee Benefits
As a University of Maryland Medical System (UMMS) employee, you will enjoy a comprehensive benefits program designed with you and your dependents in mind. Subject to any eligibility waiting period, all of the benefits are available to regular full-time employees and most benefits are available to regular part-time employees who are regularly scheduled to work twenty (20) or more hours per week. Many benefits are provided at no cost to employees. For others, the cost is shared between UMMS and employees.
~CB
*LI-AB1
What You Need to Be Successful:
Master’s or higher degree (may be substituted by relevant work experience) in applied mathematics, physics, computer science, engineering, statistics or a related field
7+ years of Machine Learning and/or Predictive Analytics experience (experience with tools such as WEKA, RapidMiner, R. Python or other open source tools strongly desired)
Applying computational algorithms and statistical methods to healthcare data (including, but not limited to data from electronic medical record, financial management, human resource, quality and supply chain)
Familiarity and previous experience in developing healthcare-relevant predictive models
Strong development skills in two or more of the following: C/C++, C#, Python
Combining analytic methods with advanced data visualizations
Expert ability to breakdown and clearly define problems
Experience with Natural Language Processing preferred
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
Facility: University of Maryland Medical System
Employment Type: Full Time
Location: Linthicum Heights, MD Shift/Schedule: DAY
Department: CRP: DATA DRIVEN OUTCOMES
Posted FTE: 1.0
Job Posting Category: Professionals
Hours of Work: M-F, 8a-5p
Job ID #: 43848
Benefits Eligible: Yes
Minimum Education: Master's degree
License/Cert Required: Not Indicated
Minimum Experience: 7 years
Specialty Type: Not Applicable
What You Will Do:
The University of Maryland Medical System is a 12-hospital system with academic, community and specialty medical services reaching every part of Maryland and beyond. UMMS is a national and regional referral center for trauma, cancer care, Neurocare, cardiac care, women's and children's health and physical rehabilitation. UMMS is the fourth largest private employer in the Baltimore metropolitan area and one of the top 20 employers in the state of Maryland. No organization will give you the support, or the opportunities for professional growth that you’ll enjoy as a member of our team. UMMS is currently seeking a Senior Healthcare Data Scientist for our Corporate location.
***Master’s Degree in Applied Mathematics, Physics, Computer Science, Engineering, Statistics or related field (or equivalent experience) and 7+ years of Machine Learning and/or Predictive Analytics experience is REQUIRED***
The Senior Healthcare Data Scientist position will join our newly formed advanced Analytics group at the University of Maryland Medical System (UMMS) in support of its strategic priority to become a data-driven and outcomes-oriented organization. The successful candidate will have 7+ years of experience with Machine Learning and Predictive Modeling and a passion for working with healthcare data. Previous experience with various computational approaches along with an ability to demonstrate a portfolio of relevant prior projects is essential. This position will report to the UMMS Vice President for Enterprise Data and Analytics (ED&A).
Principal Responsibilities and Tasks
1. Develops predictive and prescriptive analytic models in support of the organization’s clinical, operations and business initiatives and priorities.
2. Deploys solutions so that they provide actionable insights to the organization and are embedded or integrated with application systems
3. Support and drive analytic efforts designed around organization’s strategic priorities and clinical/business problems
4. Works in a team to drive disruptive innovation, which may translate into improved quality of care, clinical outcomes, reduced costs, temporal efficiencies and process improvements.
5. Builds and extends our analytics portfolio supported by robust documentation
6. Works with autonomy to find solutions to complex problems using open source tools and in-house development
7. Stays abreast of state-of-the-art literature in the fields of operations research, statistical modeling, statistical process control and mathematical optimization
8. Creates, communicates, and manages the project plans and other required project documentation and provides updates to leadership as necessary
9. Develops and maintains relationships with business, IT and clinical leaders and stakeholders across the enterprise to facilitate collaboration and effective communication
10. Works with the analytics team and clinical/business stakeholders to develop pilots so that they may be tested and validated in incubator settings
11. Performs analysis to evaluate primary and secondary objectives from such pilots
12. Assists leadership with strategies for scaling successful projects across the organization and enhances the analytics applications based on feedback from end-users and clinical/business consumers
13. Assists leadership with dissemination of success stories (and failures) in an effort to increase analytics literacy and adoption across the organization.
Employee Benefits
As a University of Maryland Medical System (UMMS) employee, you will enjoy a comprehensive benefits program designed with you and your dependents in mind. Subject to any eligibility waiting period, all of the benefits are available to regular full-time employees and most benefits are available to regular part-time employees who are regularly scheduled to work twenty (20) or more hours per week. Many benefits are provided at no cost to employees. For others, the cost is shared between UMMS and employees.
~CB
*LI-AB1
What You Need to Be Successful:
Master’s or higher degree (may be substituted by relevant work experience) in applied mathematics, physics, computer science, engineering, statistics or a related field
7+ years of Machine Learning and/or Predictive Analytics experience (experience with tools such as WEKA, RapidMiner, R. Python or other open source tools strongly desired)
Applying computational algorithms and statistical methods to healthcare data (including, but not limited to data from electronic medical record, financial management, human resource, quality and supply chain)
Familiarity and previous experience in developing healthcare-relevant predictive models
Strong development skills in two or more of the following: C/C++, C#, Python
Combining analytic methods with advanced data visualizations
Expert ability to breakdown and clearly define problems
Experience with Natural Language Processing preferred
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.