Non-UVA Student Data & Research Summer Intern (Staff Wage)

Job description

Job location: Charlottesville, VA

Employment Type: Full-time
Posted data: 2019-04-26
Req: R0005603

The Center for Diabetes Technology at the University of Virginia is seeking multiple Student Data & Research Interns to support our research efforts for the summer. This is an undergraduate student wage position for 30-40 hours per week; responsibilities will be split approximately 50-50 between clinical research operational support and work on faculty-guided research topics. Clinical research operational support will include working for center staff on research, administrative, and operational tasks in support of clinical research, data management, programming, social media content support, and/or other supporting office tasks per the applicant’s skillset. Faculty-guided research will include tasks focused on center research topics. All work is performed under the direction and guidance of clinical management, faculty, and/or post-docs. There is no single “ideal” candidate; we are looking for a range of candidates with a variety of backgrounds and skillsets who are interested in learning about and working with both the operational and scientific aspects of diabetes clinical research.   

The applicant must be able to independently research topics, demonstrate thoughtful and appropriate oral and written communication in daily interactions, be well organized and have attention to detail, and possess an ability to follow directions and work effectively as part of a team. They must be able to resolve problems both independently and within a group as well as have a strong interest in medical research and respect for the privacy and safety of our research subjects.  

Responsibilities will likely change over the course of the summer. Assigned task domains will include but are not limited to:

Programming and Engineering Support:

Conduct programming assignments requiring a basic knowledge of programming procedures and data processing requirements and write code from specifications conforming to established methodology and standards. Conduct unit tests of either new or modified applications. Possess basic knowledge of established programming procedures and programming language, computer flow-charts, and programming logic and codes.

Data Operations and Management Support:

Procure data through observation, interviews, and analysis of records. Check data from completed forms for accuracy and completeness. Record data on standard forms by assigning codes, aggregating data sets, and maintaining accurate progress logs. Transcribe data from other sources which may include medical records and other reports. Duties solely or primarily involve computer work that may include data entry; data manipulation, editing, proof-reading, and maintenance.

Social Media and Content Development and Management:

Manage content for UVA Center for Diabetes Technology’s Facebook and Twitter accounts based on UVA’s and CDT’s communications strategy and policy. Develop and update website content for UVA CDT in support of staff and faculty. Develop and write blog and or social media posts including interviews, overview of research, and general diabetes events and initiatives.

Clinical Research Operations Support:

Receive training in proper research protocol compliance and development, including regulatory controls, study procedures, and data management. Assist in preparation of documentation, reports, checklists, SOPs, and other materials. Assist with keeping appropriate logs, tracking participants, and preparing study materials. Assist with a variety of clinical activities, including work with laboratory specimens, document preparation including data redaction and transcription, record keeping, material and device preparation.

Research Analysis and Projects:

To be determined based on qualifications and interest and the direction of the faculty and/or post-doc mentors.

Required Qualifications:

Progress towards an Associate’s or Bachelor’s Degree.

Demonstrated knowledge of Microsoft Office (Word, Excel, PowerPoint, Outlook).

Preferred Qualifications:

Prior knowledge and experience with diabetes, diabetes devices, and/or diabetes research.

Prior experience working in a laboratory environment and the utilization and manipulation of lab instruments and materials in support preparation, cleanup, and other related research activities.

Experience creating content for blogs, websites, and social media.

Knowledge of basic computer applications and various database and software programs.

Ability to keep records and manage confidential data.

Completion of and demonstrated knowledge of CITI Training for Human Subject Research

Programming (Java, Matlab, Simulink, or similar)

Data Management (SQL, VBA, XML, Python, or similar)

Data Analysis (Matlab, R, SAS, SPSS, Minitab, or similar)

To apply, please submit an application online through Workday at and attach a current CV/Resume. Search on requisition number: R0005603.

This is a wage position which is not eligible for leave or other benefits and is limited to 1500 hours of work in a year. For more information, refer to the Wage Employment link:

Position Compensation Range: $10.65 - $17.00 per hour depending on qualifications and experience

The University will perform background checks on all new hires prior to employment. (SPAKA)

The University of Virginia, including the UVA Health System and the University Physician’s Group 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, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.




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Job No:
Posted: 4/29/2019
Application Due: 6/26/2019
Work Type: