UCSF - Research Data Analyst (Family Health Outcomes Project, Family and Community Medicine)

 

Research Data Analyst

Company:
University of California San Francisco

Location:
Family Health Outcomes Project, Family and Community Medicine

Contact Person:
Linda Remy

Phone, Email, Postal Address:
(415) 435-5439
Linda.Remy@ucsf.edu

How to Apply:
Please apply at: https://sjobs.brassring.com/TGnewUI/Search/Home/Home?partnerid=6495&siteid=5226#jobDetails=2928395_5226

# of Openings: 1

Abstract:

The Research Data Analyst works on data management, analysis, and reporting assignments for longitudinal studies focusing primarily on health and well being of infants, children, adolescents, and reproductive age adults. Under supervision of the Research Director, exercises judgment to select methods and techniques for obtaining solutions. The person filling this position will work remotely.

Responsibilities:

The Research Data Analyst’ duties involve obtaining longitudinal data of various types and complexity, reading files into Statistical Analysis System (SAS) using methods developed by our group to maintain longitudinal consistency, constructing variables, maintaining several large format libraries and creating new format libraries, and maintaining documentation standards. Prepares tables, charts, reports, and other visual and written aids to interpret and communicate data and results.

Pay Rate / Salary: Based on prior experience

Skills / Education Requirements:

  • – Bachelor’s degree or higher with academic training in social welfare, public health, epidemiology, biostatistics, public policy, psychology, health economics, or related field (or equivalent work experience) and three to five years of relevant work experience.
  • – At least three years of social science or health policy research experience, primarily acquiring, preparing, and managing data files of various complexity for analysis.
  • – Excellent Statistical Analysis System (SAS) programming skills, particularly data step, data restructuring, data management, and data security measures.
  • – Excellent documentation in SAS programs as to the purpose of a given sequence of activities followed by SAS procedures showing that the intended result occurred.
  • – Good knowledge of research function, including analysis and consultation.
  • – Skills to communicate complex information in a clear and concise manner both verbally and in writing.
  • – Self-motivation and ability to work independently as well as on a team.

Expertise:

  • – Master’s degree with academic training in epidemiology, biostatistics, social welfare, psychology, public policy, health economics, or public health and four to five years of related experience, or an equivalent combination.
  • – Good background in basic SAS statistical procedures.
  • – Excellent skills using Word, Excel, PowerPoint, Visio, Endnote.
  • – Background in statistics a plus.
  • – Background with ESRI mapping software a plus.

Operating Systems: Windows

Date Posted: 9-9-2019