Research Data Analyst Associate

Department: Med-ISGMH
Salary/Grade: EXS/6

The target hiring range for this position will be between $56,782 - $68,000 per year. Offered salary will be determined by the applicant's education, experience, knowledge, skills and abilities, as well as internal equity and alignment with market data.

Job Summary:

The Research Data Analyst Associate (RDAA) will serve as data manager and analyst. The RDAA will utilize multiple quantitative and qualitative datasets from a variety of sources and interpret results using various techniques, ranging from assessing data missingness to simple data aggregation to statistical analysis and data mining. The RDAA will assist in the design, development and implementation of business solutions and will partner with clients to identify data management and analytical requirements. They will compile reports, charts, and tables based on established statistical methods.

The primary job activities will include data collection, management, and analysis activities. The Research Data Analyst Associate will be responsible for developing data cleaning/management protocols for all data collected, and to develop analysis plans for cohort, survey, and electronic medical records data that include extensive use of R and RStudio. The Research Data Analyst Associate will also be responsible to develop a process to manage multiple data sources, which will include supporting analytic activities, developing data visualizations, and contributing to dissemination materials including posters, peer-reviewed manuscripts, and community-facing reports. Of note, the RDAA will work closely with PhD level biostatisticians who will provide guidance about how best to conduct quantitative statistical analyses when needed.

Specific Responsibilities:

Strategic Planning

• Partners with clients to define requirements based on business objectives.

Administration

• Develop standardized templates, policies, and procedures for internal and external reporting.
• Designs and prepares documentation for qualitative and quantitative data analysis.

Development

• Completes a variety of statistical analyses using appropriate data and software
• Merges data from multiple sources in preparation for analysis.
• Interprets results of analyses for use in reports and presentations.

Performance

• Completes data cleaning and organizes data files for analysis.
• Reviews data and Identifies quality issues.

Miscellaneous

• Other duties as assigned

Minimum Qualifications:

• Successful completion of a full 4-year course of study in an accredited college or university leading to a bachelor's or higher degree; OR appropriate combination of education and experience.
• Please see information highlighted in tables below.
• REDCap
• Windows Operating System
• Slack
• Microsoft Teams
• Github
• SharePoint
• Perl
• PL/SQL
• Python
• R
• RStudio
• HIPAA
• IRB
• Critical Thinking
• Data Mining
• Data Modeling
• Database Warehouse Design/Develop
• Database Design/Data Structure
• Decision Making
• Judgment
• Metadata Creation and Management
• Problem Solving
• Troubleshooting
• Use-case Analysis
• Agile Environment
• Code Documentation
• Collaboration and Teamwork
• Facilitate Collaboration
• Functional Documentation
• Iterative & Incremental Development
• Organizational Skills
• Planning
• Workflow Development & Documentation
• Write Proposals and Project Charters

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.
• Ability to conduct data management, data analysis, and data visualizations within R and RStudio.
• Experience cleaning and reshaping cohort and/or electronic medical records data in a reproducible and well-documented fashion.
• Ability to generate data cleaning and analytical summary reports in both R markdown and using Microsoft Office.

Preferred Qualifications:

• Experience working in public health research.
• Familiarity with using Github in a team coding environment.

Preferred Competencies: (Skills, knowledge, and abilities)

• Ability to work in a remote and/or hybrid 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.
• Ability to disseminate research findings to lay communities.

Benefits:
At Northwestern, we are proud to provide meaningful, competitive, high-quality health care plans, retirement benefits, tuition discounts and more! Visit us at https://www.northwestern.edu/hr/benefits/index.html to learn more.

Work-Life and Wellness:
Northwestern offers comprehensive programs and services to help you and your family navigate life's challenges and opportunities, and adopt and maintain healthy lifestyles.
We support flexible work arrangements where possible and programs to help you locate and pay for quality, affordable childcare and senior/adult care. Visit us at https://www.northwestern.edu/hr/benefits/work-life/index.html to learn more.

Professional Growth & Development:
Northwestern supports employee career development in all circumstances whether your workspace is on campus or at home. If you're interested in developing your professional potential or continuing your formal education, we offer a variety of tools and resources. Visit us at https://www.northwestern.edu/hr/learning/index.html to learn more.

Northwestern University is an Equal Opportunity Employer and does not discriminate on the basis of protected characteristics, including disability and veteran status. View Northwestern's non-discrimination statement. Job applicants who wish to request an accommodation in the application or hiring process should contact the Office of Civil Rights and Title IX Compliance. View additional information on the accommodations process.

#LI-IW1