RESEARCH ANALYST II
(Job code 1381, Level 12)
Lead the work of data management and analysis supported by grant funding in the Services Effectiveness Research Program (SERP) in the Department of Psychiatry and Behavioral Sciences in Duke University School of Medicine and in collaboration with the Wilson Center for Science and Justice in the Duke Law School. This will include developing a system to match individuals across several large state and federal databases. This position will need to work with confidential data that has strict guidelines for use. Because there are a number of different data sources, this individual will need to be vigilant of the requirements of each provider of data. This position will work closely with the Principal Investigators (PI’s) to carry out the data analysis plans. In addition, this position will be a member of the team working toward publications-including writing methods and results sections and revising and editing manuscripts for publication in academic outlets.
This individual will be responsible for data management and analysis of several research projects within SERP. This position will manage the organization of the projects and will be responsible for communicating with team members and researchers regarding the appropriate procedures for accessing the data, ensuring that data permissions are provided only to the appropriate individuals. In addition, this position will write and edit reports as well as assist in preparing papers for publications and presentations.
In addition, this position may support other projects and perform tasks such as supervising students working on projects, developing surveys and databases in Qualtrics and REDCap, data management of surveys, IRB submission and writing reports for researchers across SERP.
A detailed description of functional areas and tasks follows:
Lead, coordinate, and perform a variety of complex independent and team activities involved in the
collection, management, analysis, documentation and interpretation of social, economic or health related information.
Use programming skills to manage multiple, large, administrative datasets that contain sensitive and protected information. Oversee a process for ensuring that are linkable at the individual level across data streams and de-identified. This will require attention to details in multiple data use agreements and attention to detail.
Prepare datasets from large administrative data for statistical analysis. This will require restructuring large datasets from event formats into various forms of person-time formats depending on the needs of the project and paper.
Ensure that team members are following work procedures that are vital to ensuring that data use agreements and IRB protocols are followed. Because of the large number of projects involved within SERP as well as the large number of papers planned for the grant funded work, this will require the individual to utilize and manage a well-organized file system and protocol
Confer with principal investigators in developing plans for research projects and to discuss the
interpretation of results and the preparation of manuscripts for publication.
Oversee the workflow of a team of professionals and students that includes statisticians, programmers, data managers, professors, graduate and undergraduate students. This will require educating individuals on protocols and overseeing specific aspects of project workflow.
Train personnel and peers in research methodology-particularly data management and best practices for verifying quality control of work produced by a team of programmers.
Supervise the work of employees engaged in the collection, data management, and tabulation of data.
Perform other related duties incidental to the work described herein.
The above statements describe the general nature and level of work being performed by individuals assigned to this classification. This is not intended to be an exhaustive list of all responsibilities and duties required of personnel so classified.
Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual’s age, color, disability, genetic information, gender, gender identity, national origin, race, religion, sexual orientation, or veteran status.
Work requires a Bachelor’s degree in a field related to the specific position. A Master’s degree is strongly preferred.
Work requires three years of experience in research/data analysis or related position. A related master’s degree may offset required years of experience on a 1:1 basis, e.g. a two year master’s degree in lieu of two years of experience.
OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATON AND/OR EXPERIENCE
In addition the successful candidate will possess the following qualities/attributes:
Demonstrate exceptional workplace behaviors (e.g., customer focus, collaboration, creating problem solving, continuous learning, and commitment to diversity) in the execution of specific position responsibilities
Experienced Stata and SAS programmer with solid data management and basic statistical analysis skills
Possess strong communication skills
Be well organized
Demonstrate well developed writing skills and can write for a variety of audiences including public agency leaders, the lay public, and an academic audience (i.e. for peer review publication); and work well independently and in a group
Experience with online database tools such as REDCap
Experience with a survey software tools such as Qualtrics-both in considering developing the survey from the users perspective as well as from the backend needs of the researchers