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Job Location (Full Address):

601 Elmwood Ave, Rochester, New York, United States of America, 14642

Opening:

Worker Subtype:

Regular

Time Type:

Full time

Scheduled Weekly Hours:

40

Department:

500021 Clin Practice Evaluation Ofc

Work Shift:

Range:

UR URG 110

Compensation Range:

$60,431.00 - $84,603.00

Responsibilities:

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 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

Bachelor┐s 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.

 

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