Epidemiologist -- 3 Months Contract -- Nashville, TN - Hybrid

Overview

On Site
$DOE
Full Time
Accepts corp to corp applications
Contract - W2
Contract - Months Contract

Skills

SAS
Data

Job Details

Job Title: Epidemiologist
Job Location: Nashville, TN - Hybrid
Duration: 3 Months Contract
Key Job Responsibilities:
  • Attend all grant-required meetings.
  • Complete all grant-required reports.
  • Develop and manage databases to collect, organize, and analyze data for the pediatric and maternal health psychiatric teams, including the REDCap database used to monitor call volume and type.
  • Ensure data quality and integrity for accurate interpretation and reporting.
  • Participate in needs assessments, resource allocation and program evaluation, planning and development for the assigned programs.
  • Communicate and disseminate data and evaluation findings to leadership, internal, and external partners.
  • Participate actively in strategic planning efforts by making recommendations regarding the utilization of data findings to make improvements to the maternal and pediatric mental health consultation programs.
  • Ability to work remotely and in the Nashville, TN office.
Other Duties:
  • Ensure that all generated reports follow Data Release Guidelines.
  • Work with program directors and communications specialists to develop infographics and disseminate findings among clinical and community partners.
  • Represent program at national workgroup meetings.
  • Use innovative means to improve the implementation of programs, write grants, and evaluate programs.
  • Ensure compliance with grant requirements.
  • Provide epidemiological support to the MCH Block Grant priority areas as needed.
Minimum Qualifications:

Graduation from an accredited college or university with a master's degree in epidemiology, public health, biostatistics, statistics, or health informatics with experience equivalent to four year's work experience in epidemiology.

The preferred candidate will have:
  • Experience in SAS
  • Experience working with large data sets
  • Excellent oral and written presentation skills
  • Excellent data visualization skills
  • Expertise working cross functionally