Sr Data and Applied Sci-PCCI

Location: PCCI - Pegasus Park

Primary Purpose As an experienced data analytic scientist, will be responsible for coordinating specific phases of data analytics (extraction, analysis, manipulation, synthesis, summary, validation, testing, and maintenance) with the objective of creating and building predictive models and algorithms for clinical and operational initiatives as identified by PCCI.

Minimum Specifications

Education

Must have a Masters Degree in Statistics, Applied Mathematics, Informatics, Computer Science, Operations Research, or a related field.

Experience

Must have three (3) years of experience in analysis of business related data and information systems.

Must have research and development experience on predictive modeling, data mining and management, and other advanced analytics in the development of business intelligence and technology transfer.

Must have experience developing data mining solutions using various statistical software packages (Ex: R, Python, etc.)

Prefer experience working with healthcare organizations and healthcare applications.

Prefer experience working within a complex, academic healthcare organization.

Equivalent Education and/or Experience

May have an equivalent combination of education and experience to substitute for both the education and the experience requirements.

Certification/Registration/Licensure

None

Required Tests for Placement

None

Skills or Special Abilities

Must be able to demonstrate an expert knowledge of statistical methods, concepts, practices, procedures, and their application.

Must have a strong understanding of healthcare inpatient and outpatient operations and regulatory requirements.

Must be able to demonstrate a comprehensive level of knowledge with regard to healthcare software design and development.

Must be able to demonstrate expert level critical thinking skills to solve challenging advanced analytics problems and provide solid solutions.

Must demonstrate comprehensive knowledge of :

IS operational policies, procedures, and standards

Application features and their integration capabilities

Business process analysis and redesign, including benefits engineering

Statistical methods, concepts, practices, and procedures used for health outcome research

High deduction skills

must be able to use fundamental analysis and reasonable judgments to deduce answers for complex issues.

Must have a strong commitment to customer service.

Must have demonstrated experience and strong commitment to benefits engineering and performance metrics.

Must be able to demonstrate excellent written and verbal communication skills, including presentation skills. Must understand and engage audience to achieve the best results.

Must be flexible and be able to prioritize and reprioritize projects in line with Parkland Center for Clinical Innovations leaders to meet deadline and deliverables.

Must demonstrate exceptional abilities for high level comprehension of projects and environment as well as remain extremely detail oriented for tasks and responsibilities. Must be independent and reliable with the ability to drive initiatives to completion.

Must have knowledge of word processing, spreadsheet, data management, and statistical analysis software.

Must demonstrate excellent knowledge and experience using different software including STATA, SPSS, SAS, Python, and others performing data cleaning, manipulation, processing, management, and statistical analysis.

Requisition ID: 995081