Opening
Full Time 40 hours Range URG 110 Clin Practice Evaluation Ofc
Responsibilities
GENERAL PURPOSE:
With general supervision and guidance, participates in the design, implementation and dissemination of advanced analytics and data science projects. The data scientist works with and advises key stakeholders, including URMC departmental and senior leaders, and provides analysis and insights to enable data-driven decision-making. Supports the development and evolution of advanced statistical and mathematical methods, including machine learning capabilities. Works in partnership with team members to solve complex problems, ensure robust, scalable analytics solutions and implement them efficiently and effectively across the enterprise.
RESPONSIBILITIES:
Supports the team in providing data analysis and insights to stakeholders to enable data-driven clinical projects and decision making
- Works with senior team members to translate complex data into insights and compelling stories
- Presents data models, analyses, and visuals (including dynamic visuals such as dashboards) to internal and external stakeholders. Iterates and refines based on feedback.
Engages with stakeholders to identify needs and opportunities for analytics support
- Works with project director and end-users to understand project requirements
- Understands underlying clinical and operational requirements and formulates, designs, and executes analytical solutions to support them
Develops advanced analytics to address complex problems
- Develops preliminary analyses and prototypes independently
- In collaboration with senior team members, analyzes and models structured data and implements algorithms to support analysis using advanced statistical and mathematical methods
- Develops and implements robust, reproducible processes to prepare, extract, and enrich a variety of structured and unstructured data sources
Develops and deploys applications to address business and clinical needs
- Provides scalable solutions and collaborates on dissemination efforts.
- Creates and implements data science solutions to support analytical efforts and expand dashboard capabilities Works with senior team members to develop and manage project plans
- Executes and evolves project plans
Develops machine learning (ML) capabilities
- Designs and develops prototypes of data models, ML pipelines, dashboards, and reporting
- Cultivates new data sources to offer insights and analyses needed for research and decision-making
Develops new data sources from structured and unstructured data
- Writes, tests and deploys queries and/or API connections to internal and external databases
- Cleans and manipulates data so that it is in a usable format for others
- Designs and builds data marts and data warehouses to support advanced reporting scenarios
- Links data from multiple sources and stores it in a format that is easy to query
Continuing Education
- Maintains current knowledge base and expertise relative to the technology and software used by related to the EHR and functional areas being supported
Other duties as assigned
QUALIFICATIONS:
- Bachelor's degree in data science, math, information science or related fields required;
OR
- Bachelors degree in an unrelated field plus 3 years relevant experience required;
- Master's degree in data science, math, information science or related fields preferred.
- or equivalent combination of education and experience required.
- Strong attention to detail, ability to develop creative solutions to complex problems, and strong critical thinking skills required.
- Strong analytic, qualitative and quantitative data analysis skills, with demonstrated ability to break down complex problems into phased deliverables required.
- Excellent oral and written communication and presentation skills, including the ability to describe data science concepts to lay/nonexpert audiences preferred.
- Considerable experience with relational databases preferred.
- Proficiency with Python (or R), including common machine/deep learning libraries and their implementation preferred.
- Fluency with data visualization tools, such as Tableau, Spotfire or PowerBI preferred.
- Ability to work independently and successfully complete assigned tasks on time with limited oversight required.
The University of Rochester is committed to fostering, cultivating, and preserving a culture of equity, diversity, and inclusion to advance the Universitys mission to Learn, Discover, Heal, Create and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion/creed, sex, sexual orientation, citizenship status, or any other status protected by law. This commitment extends to the administration of our policies, admissions, employment, access, and recruitment of candidates from underrepresented populations, veterans, and persons with disabilities consistent with these values and government contractor Affirmative Action obligations.
How To Apply
All applicants must apply online.
EOE Minorities/Females/Protected Veterans/Disabled
Pay Range
Pay Range: $60,431 - $84,603 Annually
The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job’s compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.