Social & Scientific Systems (S-3)

Senior Epidemiologist I

US-MD-Silver Spring
Job ID
2017-1705
Category
Clinical
Type
Regular Full-Time

Overview

Social & Scientific Systems (SSS) works to improve public health worldwide by providing technical, research, and program management services to government, nonprofit, and commercial clients. The SSS team offers a synergy of expertise in clinical research services, epidemiology and public health studies, health data management and analysis, and program evaluation and policy analysis. Please join our dedicated staff of employee-owners in an environment that values diversity and supports health, well-being, and professional growth.

 

 

 

Responsibilities

SSS is currently seeking an Epidemiologist to conduct studies in kidney and urologic diseases on behalf of The National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). This is a 100% research position that has produced numerous nationally significant papers. Research opportunities include data analysis of Medicare and other insurance claims databases in addition to national health surveys such as the National Health and Nutrition Examination Survey.  Computer programmers expert in handling these large databases provide programming support.  PhD-level biostatistical support is also available.  Requirements and qualifications for this position are:

Qualifications

  • Doctoral degree in epidemiology; or a medical degree or a doctoral-degree in a related field with training in epidemiology; Candidates must have a minimum of three years of experience designing and carryining out epidemiologic research analyses following completion of the doctoral degree.
  • Experience in analyzing large or national studies and insurance claims data using a range of univariate and multivariate statistical techniques using SAS.
  • Demonstrated writing ability and experience in preparing manuscripts for publication in peer- reviewed journals.
  • Experience analyzing and publishing in the area of kidney and urologic disease is highly desirable.
  •  Experience working on cross-disciplinary research teams, including teams comprised of epidemiologists, statisticians and computer programmers.

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