Note: The job is a remote job and is open to candidates in USA. University of Maryland Medical System is an academic medical center focused on advancing healthcare through innovation and data-driven insights. The Clinical Transformation Data Scientist applies advanced data science to healthcare data, develops predictive and machine learning models, and translates analytics into recommendations that improve clinical decision-making, patient outcomes, and operational efficiency.
Responsibilities
- Collaborate with multidisciplinary clinical and research teams to identify opportunities for data-driven clinical transformation
- Develop, validate, and deploy machine learning models and advanced analytics solutions tailored to healthcare challenges
- Analyze large, complex healthcare datasets including electronic health records (EHR), imaging, genomics, and patient-reported outcomes
- Translate data insights into strategic recommendations to enhance clinical decision-making and patient care pathways
- Support clinical trials and research projects by providing robust data analysis and visualization
- Ensure compliance with healthcare regulations and data privacy standards in all data handling and analysis activities
- Communicate findings effectively to both technical and non-technical stakeholders through reports, presentations, and dashboards
- Stay current with emerging data science methodologies, healthcare technologies, and industry best practices
Skills
- Master's in Data Analysis field or a related field required
- Three (3) years of Data Analytics and Database Management experience required
- Developing and implementing machine learning models and AI-driven solutions to enhance clinical decision-making and operational efficiency
- Utilizing predictive modeling and cognitive analytics to extract actionable insights from complex healthcare data
- Collaborating with clinical and technical teams to translate data-driven insights into impactful clinical transformation strategies
- Leveraging advanced Epic tools such as Cogito Cloud, Nebula, and Agent Factory to optimize data workflows and analytics processes
- Maintaining up-to-date knowledge of emerging data science technologies and best practices in healthcare analytics
- Proven experience in data science with a focus on machine learning, AI, predictive modeling, and advanced analytics
- Familiarity with AI and cognitive analytics is highly desirable
- Experience working with advanced Epic tools (Cogito Cloud, Nebula, Agent Factory) is a strong plus
- Statistical analysis (experience with tools such as SAS, SPSS)
- Experience using Tableau and/or Smartsheets software for data visualization
- Excel expert including macros, visual basic
- Advanced SQL, Excel and Vizient query languages and database design
- Metric quantitative and qualitative analysis
- Experience in data manipulation, transformation, scrubbing and imputation with acute attention to detail
- Expert at identifying data anomalies
- Ensures, analyzes and monitors data quality
- Strong analytic and problem-solving skills
- Strong writing and editing skills
- Ability to plan work, set clear direction and coordinate projects in a multi-disciplinary environment
- Ability to work cooperatively and effectively with people from various organizational levels
- Remains current with published literature in the fields of medicine, statistical analysis and healthcare operations
- Change oriented and actively supports process improvement
- Clinical Background preferred
- Epic certifications are highly preferred
Company Overview
Company H1B Sponsorship