WRAP Research Analyst II

University of Wisconsin Madison • Madison, WI

2d • $75,000 • Hybrid

About The Position

The Wisconsin Registry for Alzheimer’s Prevention (WRAP), one of the world’s largest and longest-running studies of pre-clinical Alzheimer’s disease, is seeking a Research Analyst II to serve as a critical lead for our data and informatics team. This role is designed for a detail-oriented professional who will steward a 25-year longitudinal dataset, directly enabling the achievement of grant deliverables including broad sharing. The successful candidate will be responsible for two primary mission-critical outcomes: 1. Data Stewardship & Quality: Overseeing the "front-end" data lifecycle, including managing the source, data entry, and quality control (QC) standard operating procedures for all research data. 2. Resource Facilitation: Managing the process of providing WRAP’s datasets to internal and external (global) endusers, ensuring that security policies are adhered to and that applicable institutional agreements (DTUAs/MTAs) and fulfillments of data requests are executed efficiently. Additionally, this position provides vital leadership by supervising the WRAP data entry team, which includes a Clinical Trials Coordinator and undergraduate students. You will partner with database administrators, biostatisticians, and investigators to identify and resolve QC issues, maintain rigorous HIPAA and cybersecurity standards, and ensure the seamless flow of information from collection to our analytic platform and into the hands of researchers locally and around the world. This position may require some work to be performed in-person, onsite, at a designated campus work location. Some work may be performed remotely, at an offsite, non-campus work location. Candidates who demonstrate the following knowledge, skills, and abilities will be given first consideration: 1) Ability to manage research data workflows across multiple systems with a strong commitment to data quality; 2) Knowledge of research compliance, HIPAA, and data-sharing requirements; 3)Strong organizational, project management, and documentation skills; 4) Ability to supervise staff and student employees; 5) Excellent written and verbal communication skills; 6) Ability to work independently and collaboratively in a complex research environment; 7) Proven ability to manage multiple concurrent priorities and deadlines, with exceptional organizational skills and timely completion of deliverables.

Requirements

• At least 2 years of experience in a research, clinical, or data-intensive environment involving: Research data entry, management, or coordination and use of databases or structured data systems
• Demonstrated experience supporting regulated research activities (e.g., human subjects research, clinical studies, or institutional data governance) or experience working in environments with privacy, security, or access controls (e.g., HIPAA, restricted data, role-based access)
• Demonstrated ability to manage front-end research data workflows, including data intake, documentation, quality control, and issue resolution with proven ability to maintain high data accuracy and integrity across large or complex datasets that include sensitive and confidential information.
• Experience following and enforcing standard operating procedures (SOPs) in a structured research or compliance-driven environment
• Demonstrated experience training, mentoring, or overseeing the work of others, including students, interns, or junior staff including ability to provide clear direction, feedback, and oversight to ensure work quality and consistency
• Strong written and verbal communication skills, with the ability to work independently while collaborating effectively with interdisciplinary teams and serving as a primary point of contact for questions related to data, documentation, and workflow.

Nice To Haves

• Direct experience using research-specific databases and analytic platforms, secure data-sharing repositories, advanced Excel-based QC workflows, and project or workflow management tools to support complex, multi-system research operations.
• Experience applying SQL and/or Python to query and troubleshoot research datasets, developing data quality metrics or dashboards, and supporting automated or cross-database quality control processes.
• Experience managing research data-sharing requests from review through fulfillment, with familiarity navigating institutional data agreements and coordinating with compliance, IT, or security partners to enable appropriate data access.
• Demonstrated experience leading or structuring student data teams, identifying recurring system-level data or workflow issues, and implementing sustainable improvements through SOPs, training materials, or process redesign.
• Experience working with longitudinal, clinically or cognitively focused research data within an academic medical center, public health institute, or large research consortium environment.

Responsibilities

• Serves as a subject matter expert and main point of contact regarding research analysis and research area operational processes
• Develops and implements processes, guides staff, analyzes data, and summarizes complex research results for a defined research area or study by utilizing established processes
• Designs and implements processes for the preparation of reports and manuscripts and leads the presentation of materials through various communication platforms
• Contributes to the development of unit strategies, research procedures, and analysis methodologies and recommends improvements to leadership

Benefits

• Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1-10 employees