Health Services - Multiple Roles - Remote!

Type of Requisition:

Pipeline

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Suitability:

Public Trust/Other Required:

Job Family:

Policy Analysis

Job Qualifications:

Skills:

Data Science, Health Services, Health Services Research, Research Data

Certifications:

Experience:

5 + years of related experience

US Citizenship Required:

No

Job Description:

We are GDIT's Federal Health Sector, one of the largest IT and mission services providers to the government. Discover how your career in health services research and data science can make an impact on the health of our nation. GDIT offers a broad-range of opportunities that support health services, both domestic and abroad. Own your opportunity to serve our nation, whether that's through public health, data science, health services research, or technology.

GDIT is your place. You make it your own by seizing opportunity, collaborating with teams and supporting challenging work that makes a real impact on the world around you.

 

OPPORTUNITIES TO MAKE AN IMPACT IN A HEALTH SERVICES RESEARCH OR DATA SCIENCE CAREER AT GDIT:

• Provide information for research and analysis.

• Collect, analyze, and interpret data from surveys, experiments, studies, and other sources.

• Plan methods to collect information and develop questionnaire techniques according to survey design.

• Conduct surveys, evaluate reliability of source information, adjust and weigh raw data, analyze and interpret and organize results.

• Prepare conclusions and predictions based on data.

• Contribute to completion of specific programs and projects.

• Develop data-driven solutions to complex business challenges.

• Utilize advanced tools and computational skills to interpret, connect, predict, and make discoveries in data.

• Use predictive modeling to increase and optimize customer experiences, efficiencies, process improvements, and other business outcomes.

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

• Apply and integrate statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate more complex, high-volume data from a variety of sources.

• Analyze organizational data and conduct statistical analysis.

• Apply mathematical calculations to recommend solutions to technical problems of high complexity.

• Develop innovative strategies and quantify the competitive performance of the organization's operations and/or markets.

• Analyze data using SAS, STAT, SPSS or similar data analysis software.

• Perform research, analysis, development, and evaluation of systems, procedures, and models in assigned functional area.

• Analyze and define problems and research possible solutions that afford maximum probability for profit or effectiveness in relation to cost or risk.

• Prepare models of problems using multiple …