The Senior Research Data Analyst partners with clients to design, develop, implement and maintain business solutions regarding data management and analysis. This includes database administration, data consolidation, data analysis and management reporting. Utilizes software to generate metrics and develops actionable recommendations. Collaborates with various function teams such as marketing, research, and IT to achieve business results.
The candidate will play a lead role in developing programmatic approaches to data management for the Developmental Mechanisms Program based in the Department of Medical Social Sciences. This position will coordinate data operations and activities to ensure the quality and integrity of data collected across multiple, inter-related, studies on early childhood risk factors for adverse outcomes (e.g., psychopathology, language disorder). Currently, the focus is on several NIH-funded studies: the NIMH-funded MAPS study (PI Lauren Wakschlag, and the When to Worry Studies, which include the NIMH-funded When to Worry about Irritability study (W2W-I; PI Lauren Wakschlag) and the NIDCD-funded When to Worry About Language (W2W-L) study (PIs Elizabeth Norton and Lauren Wakschlag). The MAPS study, now in its 9th year, recruits a diverse sample of children from preschool age through preadolescence with assessment of development, behavior, neurocognition and family context. The When to Worry studies advance an earlier science of reliable identification of emergent mental health problems and language delays, assessing the associations among irritability, language development in over 500 infants and toddlers and their families.
This position will create standard operating procedures and systems for monitoring the flow of data, ensuring that data are clean and properly documented. Prepares data sets for analysis and for archiving in response to internal and external requests, including documentation. Programs data collection instruments into REDCap databases and monitors adherence of data collection protocols to study goals. Provides expertise in data management, quality assurance, analysis and reporting. Researches and analyzes information using multiple databases and creates reports of data and results. Works with project manager and research assistants to ensure data collection tools are working properly. Assists in the preparation and delivery of decision support reports to investigators. The data manager will assist the program manager in monitoring study performance through routine data monitoring, assist in streamlining of current databases, and ensuring that all data collection processes, protocols and procedures are quality controlled and functioning up to standards. This is a position with substantial opportunity for growth.
The research data manager position requires a highly motivated individual with a strong attention to detail. The ideal candidate will have experience with data management for research studies. The ability to work flexibly across multiple projects/disciplines and balance administrative skills with data management is crucial.
We are looking for a team player who is willing to take initiative and learn a variety of responsibilities. The individual will be a member of a multi-disciplinary team and should be comfortable communicating with people from a variety of backgrounds, including internal and external co-investigators and research staff. Ability to think on your feet and a capacity to proactively identify and solve problems are essential traits. Ability to provide and receive constructive feedback are essential. Strong written and spoken English skills are essential..
Manages and plans for data/analysis requests and projects.
Provides consultation to customers on appropriate data management, methodological issues and statistical analyses.
Collaborates with technical staff explaining needs of functional users. Serve on committees related to data structure and governance.
Reviews reports before presentation to ensure quality and accuracy.
Develops and maintains documentation of process for quality assurance and reporting methodology
Defines, develops and communicates new standards and best practices.
Develops queries and quality metrics.
Interprets results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex statistical analysis.
Determines data structure for local datasets.
Develops and documents standards for data quality and regulatory compliance pertaining to reporting.
Ensures quality and compliance by reviewing reports
Provides work direction and/or supervises staff such as team members, subordinates, contractors, vendors, students, etc.
Recommends staff hires/terminations.
Coaches and mentors staff.
Manages projects ensuring timelines and deliverables are met and meet expectations.
Performs other duties as assigned.
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.
4 years data analysis/report writing or similar experience required.
Please see information highlighted below:
Infrastructure (extends across applications): SQL/MySQL/Postgres, REDCap.
Programming Languages and Frameworks: SAS.
Analytical: Critical thinking, data mining, data modeling, database design/data structure, decision making, problem solving.
Project: Agile environment, code documentation, collaboration and teamwork, organizational skills.
Minimum Competencies: (Skills, knowledge, and abilities.)
Knowledge of / experience with collecting and manipulating data in REDCap
STATA, SAS, R or similar
Preferred Qualifications: (Education and experience)
Master’s degree in social science/public health/statistics (or related field) with emphasis on empirical research
4 years’ experience in managing large data sets, preferably survey research data or longitudinal data
2 years data management or similar experience required
Preferred Competencies: (Skills, knowledge, and abilities)
Knowledge of relational database design
Strong programming skills
Exceptional attention to detail
Excellent documentation skills and habits
Strong communication skills
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.
Internal Number: 34455
About Northwestern University
Northwestern University is a major private research university with 12 academic divisions located on three campuses in Evanston, Chicago, and Education City in Doha, Qatar. We have approximately 2,500 full-time faculty members, 17,000 graduate and undergraduate students, and over 5,700 full and part-time staff. Northwestern University combines innovative teaching and pioneering research in a highly collaborative environment. It provides students and faculty exceptional opportunities for intellectual, personal and professional growth.