LinkB5 Data Management Specialist

The School of Education and Human Development at the University of Virginia seeks applicants for the Data Management Specialist position to manage and process large-scale data, producing research-ready datasets. This joint position will support the LinkB5 team at UVA as part of an ongoing research-practice partnership in Virginia. This position is full-time salaried for 40 hours a week (1.0 FTE) and will be a fully remote position.

Roles and Responsibilities:

The Data Management Specialist will establish effective, organized data systems to clean and merge large-scale administrative, assessment, and survey data. The ideal candidate will have a strong interest in social science research, experience with complex data processing tasks, and the ability to work both independently and collaboratively with other team members . Strong communication and statistical programming skills are critical . An interest or experience in relational databases is preferred.

The Data Management Specialist will:

• Develop and implement systems for effective data management and data security, including fielding and tracking requests for analytic data from team members and stakeholders.
  
• Create detailed documentation for research-ready datasets.
  
• Conduct quality control checks on data
  
• Produce tables, charts, and data visualizations to address needs of partners at the Department of Education and community organizations.
  
• Collaborate with team members through various modes of communication.
  
• In addition to the above job responsibilities, other duties may be assigned.
  

Required Qualifications

Education : A bachelor’s degree in data science, economics, psychology, public policy, education, statistics, computer science, or a related field

Experience : At least 4 years of relevant experience (coursework will be considered)

Preferred Qualifications

Significant preference will be given to those candidates who meet some or all preferred qualifications. Candidates are strongly encouraged to submit a cover letter detailing how their experience and qualifications align with the following:

• A master’s degree data science, economics, psychology, public policy, education, statistics, computer science, or a related field
  
• Strong coding skills in Stata, R, SAS, or other similar statistical software
  
• Demonstrated interest in education or social science research
  
• Experience with data management, manipulation, cleaning, and analysis
  
• Knowledge of data validation and quality assurance processes to ensure accuracy of data and analyses
  
• An understanding of data confidentiality principles to ensure data security
  
• Flexibility to work both independently with minimal supervision and cooperatively within a team
  
• Excellent organizational skills and the ability to work across multiple projects at the same time while meeting regular deadlines
  
• Strong written, verbal, and interpersonal communication skills
  
• Experience working with large-scale data in a research or professional setting
  

Physical Demands
This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.

Anticipated Hiring Range : $55,000 to $62,000 (commensurate with qualifications) with UVA benefits .

Application Instructions

Please apply through Workday, and search for Data Management Specialist. Complete an application online with the following documents:

• Cover letter,
  
• CV/resume,
  

Internal applicants must apply through their UVA Workday profile by searching 'Find Jobs.'Upload all materials into the resume submission field. Multiple documents can be submitted into this one field. Alternatively, merge all documents into one PDF for submission. Applications that do not contain all required documents will not receive full consideration.

This position is open until filled. This is an Exempt level, benefited position. This position will not sponsor applicants for work visas. This restricted position is a 12-month appointment, and continuation is dependent upon project need, availability of funding, and performance. The University will perform background checks on all new hires prior to employment. For questions about the application process, please contact Margaret Weeks, HR Recruiter, at mew7ys@virginia.edu .

As part of the application process, applicants may be asked to submit a statement describing how they address diversity, equity, and inclusion in their work.

Additional Information

Click here for more information about UVA and the Charlottesville community .

In alignment with President Ryan’s UVA strategic plan, CASTL is committed to:

• Recruiting talented and diverse doctoral students, post-doctoral fellows, faculty, and staff;
  
• Recruitment and retention of a diverse workforce and providing an inclusive and supportive environment in which staff and faculty are recognized as integral to the success of our work; and
  
• Promoting a culture of integrity, mutual respect, excellence, collaboration, and innovation.
  

COVID Vaccination Requirement and Guidelines

Please visitthe UVA COVID-19 Job Requirements and Guidelines webpageprior to applying for current information regarding vaccination requirementsandguidelines for employment at UVA.

The University of Virginia, i ncluding the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.