Bilingual Data Collector – Research Services Professional (entry/intermediate)

Bilingual Data Collector – Research Services Professional (Entry/Intermediate)

The Adult and Child Center for Outcomes Research and Delivery Science (ACCORDS) is searching for a dynamic and motivated Data Collector to join the growing Family Matters team (Principal Investigator: Dr. Jerica Berge). This is a great opportunity to be a part of National Institutes of Health (NIH) funded research that is making a difference in the lives of families with school-aged children around Denver, CO and the Twin Cities, MN. You will play a vital role in supporting recruitment and retention efforts, as well as data collection on a large scale longitudinal cohort study and innovative clinical trial. These studies utilize innovative data collection methods to examine risk and protective factors for childhood health in low-income and minority households. This position reports to the Project Director. Because these studies involve families, all visits will need to occur when the family is available. Afternoon/evening and weekend visits are what we expect families to request.

The Data Collector team member will: work directly with families across the Family Matters program timeframe to collect baseline, 6-month, and 12-month family-level data; will train and then carry out mixed-methods measures with families (e.g., anthropometry, mHealth technology, dietary recalls, video-recorded family meals, surveys, etc.); will use RedCap and other programs to track families and measurement timepoints; engage in video coding of participants family meals; and help develop protocols and materials for data collection with families; and engage in video-recorded supervision to improve in measurement skills.

Key Responsibilities / Duties:

• Lead efforts to retain study participants over the course of study participation (12-18 months), which includes: developing and overseeing outreach processes, coordinating schedules, tracking progress and reporting results to Project Director and PI, updating RedCap database and running regular quality assurance checks on data entry, and managing the delivery of incentives to participants by providing leadership to study staff as the point person for questions, or issues in the gift card system.
• Collect anthropometric and survey data virtually from families participating in the study. Virtual data collection visits will be conducted from our ACCORDS office (1890 N. Revere Court – Anschutz Campus).
• Collect biological data from families in the study, including anthropometry, hair samples, and blood pressure. Coordinate the collection of blood samples from parent and child participants.

Serve as staff lead for sibling data collection:

• There are over 300 siblings in the Family Matters study who need their data collection time points coordinated. Serve as the team resource for sibling data collection, including developing and maintaining protocols, training other staff in sibling data collection, and reporting progress on sibling data collection weekly to Project Director and PI.

Staff Training and Virtual Measurement Lead:

• Train and certify staff in collecting virtual heights, weights, and neck circumference.
• Conduct ongoing review of virtual measurements: evaluate study visits and provide ongoing feedback to data collectors to ensure all measurements are following study protocols.

Protocol Development:

• Assist PI and Project Director in developing detailed data collection protocols and monitoring implementation to ensure consistency and data quality throughout study implementation.
• Contribute creative solutions to barriers faced by participants during data collection and revise protocols based on these solutions.
• Conduct periodic assessments of study protocols for quality improvement purposes at strategic implementation stages. Ensure accuracy and consistency with protocols in all recruitment-related activities, including eligibility screening process and primary study messaging / talking points during participant communications.

Study Operations Support:

• Attend weekly team meetings, data entry, assist with study protocols, and other duties as assigned. Provide additional support for study operations as needed.
• Engage proactively in problem solving using available data (including both process and outcome measures) and study monitoring tools / project management tools.
• Identify emerging study needs and adapt study implementation plans and materials to address issues and changes dictated by PI / study team decision making procedures.
• Ensure meticulous study documentation according to protocols and notable modifications or significant study events that may occur during implementation.

Translation:

• If applicable, the incumbent will also spend time translating data collection materials (i.e., participant handouts, recruitment materials) as needed.

Work Location: Hybrid – this role is eligible for a hybrid schedule of 2-3 days per week on campus and as needed for in-person meetings.

Why Join Us:

ACCORDS is a research center supporting the advancement of health services research and T3-T4 translational research jointly funded by the School of Medicine and Children's Hospital Colorado Research Institute. ACCORDS serves as the focal point for health care professionals, researchers, and analysts from across the Anschutz Medical Campus to foster multidisciplinary collaborations that bring together our campus' diverse skills and talents to pursue health services research and education. In addition, ACCORDS cultivates strong research and educational collaborations with external partners including the University of Colorado School of Public Health, Children's Hospital Colorado, Denver Health, Kaiser Permanente Colorado, UCHealth, as well as other health care delivery systems, community organizations, and state and local government agencies. ACCORDS has programs in Dissemination and Implementation Science, Patient-Centered Decision Making, Education, Community Engagement and Outreach, as well as methodological cores in Qualitative and Mixed Methods, Economic Analysis, Practice-Based Research Networks (PBRNs), Biostatistics for Health Services Research, and Mobile Health & Informatics

Why work for the University? We have AMAZING benefits and offer exceptional amounts of holiday, vacation and sick leave! The University of Colorado offers an excellent benefits package including:

• Medical: Multiple plan options
• Dental: Multiple plan options
• Additional Insurance: Disability, Life, Vision
• Retirement 401(a) Plan: Employer contributes 10% of your gross pay
• Paid Time Off: Accruals over the year
• Vacation Days: 22/year (maximum accrual 352 hours)
• Sick Days: 15/year (unlimited maximum accrual)
• Holiday Days: 10/year
• Tuition Benefit: Employees have access to this benefit on all CU campuses
• ECO Pass: Reduced rate RTD Bus and light rail service

There are many additional perks & programs with the CU Advantage.

Minimum Qualifications:

• Bachelor's degree in any field
• Spanish fluency and ability to translate materials into Spanish

Entry Preferred Qualifications:

• Bachelor's degree in public health, social work, nutrition, behavioral sciences or similar field
• One (1) – Three (3) years relevant experience
• Experience with electronic data capture systems (e.g., EMR or EHR and data management systems)
• Primary data collection on large-scale research projects
• Collecting anthropometric data and other measures beyond survey research
• Research with human subjects
• Experience participating in research including recruitment, survey research, and/or in-home/clinic data collection
• Experience working with low-income populations
• Experience working in a multicultural or multiethnic program or environment

Intermediate Minimum Qualifications:

• Bachelor's degree in any field
• One (1) year clinical research or related experience
• Spanish fluency and ability to translate materials into Spanish

Intermediate Preferred Qualifications:

• Master's degree in public health, social work, nutrition, behavioral sciences or similar field
• One (1) – Two (2) years relevant experience
• Experience with electronic data capture systems (e.g. EMR or EHR and data management systems)
• Primary data collection on large-scale research projects
• Collecting anthropometric data and other measures beyond survey research
• Research with human subjects
• Experience participating in research including recruitment, survey research, and/or in-home/clinic data collection
• Experience working with low-income populations
• Experience working in a multicultural or multiethnic program or environment

Conditions of employment:

• Ability to work late afternoons/early evenings (minimum of 2-3 evenings per week) and some weekend hours as needed
• Participant-facing work will be conducted from the office, in a secure location at the