The Data Assistant ensures submission and maintenance of accurate, timely, complete and reliable data and reports by implementing data management and quality assurance procedures. Provides feedback to customers and clients regarding systematic data errors or problems. Documents revisions in codebooks and manuals.
The Evaluation, Data Integration, and Technical Assistance Program (EDIT), housed in the Institute for Sexual and Gender Minority Health and Wellbeing (ISGMH), is directed by Dr. Gregory Phillips II and Dr. Lauren B. Beach (Associate Director), and attempts to foster a learning community to improve the health and wellbeing of sexual and gender minority (SGM) populations in Chicago and beyond. EDIT’s goals are to (1) be a local leader in the evaluation of interventions focused on improving the health and wellbeing of sexual and gender minority individuals; (2) help community agencies build capacity to strategically plan and implement and evaluate innovative and culturally responsive programming that serves sexual and gender minority individuals through the provision of tailored technical assistance; (3) use a wide array of data sources to enhance understanding of health disparities of sexual and gender minority individuals at a local and national level; and (4) share best practices and lessons learned from program evaluation and research studies with policymakers, funders, and service providers to improve community response to serving sexual and gender minority individuals.
This position will be responsible for research and administrative support for two projects: 1) an ongoing secondary data analysis of health disparities between sexual minority and heterosexual youth, and 2) a new project in partnership with the University of Chicago to leverage Network Canvas, a software suite designed by researchers in the EDIT and CONNECT Programs at ISGMH, to study the spread of COVID-19 in the Midwest among vulnerable and marginalized populations.
This job involves the support of research and administrative efforts. Primary activities include: interfacing with research partners and data hosting sites; assisting with the development and implementation of network data capture protocols, maintaining accurate, timely, and detailed records of all research efforts; scheduling and participating in regular calls and meetings; supporting overarching data collection, including serving as a liaison between partner sites across the Midwest and the Northwestern research team; assisting with the coding and analysis of qualitative and quantitative data; assisting with the preparation of reports and dissemination products; carrying out administrative duties for the projects; and other project-related responsibilities.
- Participates in team and other departmental meetings to share experiences, learn about what other teams are doing and help solve problems.
- Manages data receipt, tracking and follows up on assigned project(s).
- Detects trends and reports on patterns of errors.
- Contacts customers to obtain missing data.
- Compiles and maintains codebooks, data files and memos needed for subsequent analysis of data.
- Learns and complies with appropriate compliance and regulation requirements regarding protected data.
- Provides administrative support to organizational area.
- Edits, codes and enters data per protocol.
- Runs reports and completes basic analysis.
- Reviews data input for accuracy, addressing on skip patterns, coding, and other information.
- Performs cleaning/formatting tasks of datasets.
Performs other duties as assigned.
- A high school diploma or equivalent is required.
- 2 years’ data entry or similar experience is required.
- Please see information highlighted below-
- Infrastructure (extends across applications): Microsoft Office (Word, Excel, Powerpoint, Access, Outlook).
- Analytical: Critical thinking, decision making, judgement, problem solving,
- Project: Collaboration and teamwork, facilitate collaboration, organizational skills, planning.
Minimum Competencies: (Skills, knowledge, and abilities.)
- Ability to prioritize tasks.
- Effective time management skills.
- Demonstrated attention to detail and ability to adhere to instructions/procedures.
- Efficient and resourceful in problem-solving.
- Good communication skills; demonstrated effective spoken and written communication.
Preferred Qualifications: (Education and experience)
- Experience working in public health research.
- Experience working with LGBTQ+ individuals.
- Experience working with large or complex datasets
- Experience with conducting statistical analyses.
Preferred Competencies: (Skills, knowledge, and abilities)
- Ability to work in a team environment.
- Ability to work with minimum supervision and guidance.
- Ability to receive and benefit from feedback.
- Willingness to expand skill set and improve.
- Ability to write scientifically for dissemination activities.
- Familiarity with data collection and management software, such as REDCap.
- Familiarity with COVID-19 epidemiology and COVID-19-related services
To Apply: To apply for this position, navigate to careers.northwestern.edu and apply for job ID: 39335.
Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes, including veterans and individuals with disabilities. Women, racial and ethnic minorities, individuals with disabilities, and veterans are encouraged to apply. Hiring is contingent upon eligibility to work in the United States.
ISGMH Diversity Statement: ISGMH’s commitment to diversity is critical to our mission of advancing access to excellence in academic programs, world-class research, and health programs. Engagement in discrimination or harassment against any person because of race, color, sex, religion, national origin, ancestry, age, marital status, military service, disability, sexual orientation, and gender identity or expression will not be tolerated. Through its work, ISGMH advances the health and wellbeing of LGBTQ individuals. Staff and trainees should expect to find a diversity of sexual orientations and gender identities among ISGMH staff, trainees, research participants, and in outreach experiences. We highlight the importance of respecting and valuing this aspect of diversity among staff and trainees.