Healthcare Data Scientist - ML, AI, Stats, OR
Healthcare Data Scientist - ML, AI, Stats, OR
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Salary Not Disclosed
1 Vacancy
Job Description
General Summary
The Healthcare Data Scientist - Machine Learning/AI Statistics Operations Research position will join our Advanced Data Science 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 experience with Machine Learning/AI Statistics and Operations Research 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 Director for Advanced Data Science & Consulting Services.
Principal Responsibilities and Tasks
- Support analytic efforts designed around the organizations strategic priorities and clinical/business problems.
- Develop predictive (machine learning and deep learning) and prescriptive (mathematical optimization and simulation) analytic models in support of the organizations clinical operations and business initiatives and priorities.
- Deploy solutions so that they provide actionable insights to the organization and are embedded or integrated with application systems.
- Work with the analytics team and clinical/business stakeholders to develop pilots so that they may be tested and validated in pilot/incubator settings.
- Perform statistical analysis to evaluate primary and secondary objectives from such pilots.
- Support development of strategic tactical and operational presentations that summarize the results of predictive and prescriptive analytics projects in support of robust strategies for the organization.
- Build and extend our analytics portfolio supported by robust documentation.
- Work in a team to drive disruptive innovation which may translate into improved quality of care clinical outcomes reduced costs temporal efficiencies and process improvements.
- Assist leadership with strategies for scaling successful projects across the organization and enhance the analytics applications based on feedback from end-users and clinical/business consumers.
- Assist leadership with dissemination of success stories (and failures) in an effort to increase analytics literacy and adoption across the organization.
- Work with autonomy to find solutions to complex problems using open source tools and in-house development.
- Stay abreast of state-of-the-art literature in the fields of machine learning/AI operations research statistical modeling statistical process control and mathematical optimization.
Qualifications :
Education and Experience
- PhD degree in applied mathematics data science physics computer science engineering statistics economics or a related field required; comparable work experience may be substituted for the PhD degree.
- 3 years of industry experience in the following preferred:
- Machine Learning/AI Statistics or Operations Research.
- Programming with SQL Python and R.
- Practical experience with machine learning/AI problems or formulating and solving mathematical (deterministic and stochastic) optimization problems and simulation or performing advanced statistical analysis.
- Developing and applying computational algorithms and statistical methods to healthcare data (including but not limited to data from electronic medical record financial management human resources quality and supply chain).
- Developing and deploying healthcare-relevant predictive and prescriptive models.
- Combining analytic methods and advanced data visualizations.
- Text mining and Natural Language Processing (NLP) is preferred.
Knowledge Skills and Abilities
- Develop (from scratch) machine learning and/or deep learning approaches and algorithms to solve clinical and business (including operations supply chain human resources finance) problems.
- Formulate and solve complex mathematical optimization problems using exact and heuristic approaches.
- Perform independent/unsupervised exploratory data analysis and advanced statistical analysis (e.g. regression analysis cluster analysis factor analysis ANOVA).
- Design and prototype new application functionality for our products.
- Work with real world data including scrubbing transformation and imputation.
- Capable of artful storytelling and clearly presenting findings in oral and written format and through graphics to stakeholders at various organization levels.
- Knowledge of databases data structures data processing and data mining from large enterprise transaction systems (e.g. Epic Infor/Lawson McKesson HPM Payer Claims or similar applications in healthcare or other industries).
- Effective at working independently and in collaboration with other staff members for software platform and web application development.
- Cooperatively and effectively work with people from various organization levels.
- Manage projects to meet organizational goals.
- Plan work set clear direction and coordinate own tasks in a fast-paced multidisciplinary environment including triaging issues identifying data anomalies and debugging software.
- Able to compare contrast and validate work with keen attention to detail.
- Actively generate process improvements; support and drive change and confront difficult circumstances in creative ways.
Additional Information :
All your information will be kept confidential according to EEO guidelines.
Compensation
- Pay Range: $57.87-$67.96
- Other Compensation (if applicable):
- Review the 2024-2025 UMMS Benefits Guide
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
Company Industry
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
