RESEARCH & DEVELOPMENT ASSOCIATE

PSYCHOLOGICAL ASSESSMENT RESOURCES INC•Lutz, FL

About The Position

The Research & Development Associate (RDA) provides analytical, research, and development support to project leads, the Director of Product, and the Vice President and Chief Product Officer. Working with guidance and supervision, the RDA coordinates data collection, management, and analysis; coordinates expert and bias panels; monitors data quality; prepares data files, spreadsheets, and reports; conducts statistical analyses; and contributes technical writing, editing, mockups, slide decks, and requirements documents for digital products. The position also uses AI tools and technologies responsibly and accurately to enhance research, data analysis, and product development workflows, and supports the Product department through scholarly marketing. The RDA performs database design and management, quality control, statistical analysis, and follow-up on missing or incomplete data. The role coordinates day-to-day project tasks, tracks project status, and may recommend alternatives when issues arise. Under project-lead supervision, the RDA conducts test-development procedures such as reliability and validation studies, prepares reports and presentations, and manages online data collection and preparation of final datasets. Writing and editorial work includes reviewing and rewriting materials, technical writing, APA editing, scholarly marketing, bibliographies, and training materials. The RDA also coordinates test-material submissions to expert and bias review panels and works with Production staff on test components. The position requires prolonged sitting and computer work, as well as carrying small to medium-sized packages between buildings. No supervisory responsibilities are assigned.

Requirements

Bachelor’s degree in psychology or a related field.
Experience or training in statistical methods.
Ability to use word-processing, spreadsheet, and database packages.
Working knowledge of SPSS.
Excellent verbal and written communication skills.
Attention to detail and critical-thinking skills.
Technical skills in data collection and data analysis.
Planning, scheduling, time-management, and organizational skills.
Ability to work as a team member and with minimal guidance and supervision.
Initiative and strong interpersonal skills.
Working knowledge of APA publication guidelines.
Proficiency in using artificial intelligence tools responsibly and effectively, following organizational AI governance policies and guidelines and applying AI-assisted capabilities to improve productivity, decision quality, and work outcomes.

Responsibilities

Designs and manages databases; performs data quality control and statistical analysis; follows up on missing or incomplete data.
Coordinates, tracks, and manages assigned day-to-day project tasks, including hourly research support efforts; communicates project status to the project lead, Director of Product, and Chief Product Officer, and may recommend alternatives when problems arise.
Conducts test-development procedures, including reliability studies, validation studies, and statistical analyses using tools such as SPSS, Excel, and R; prepares reports, presentations, and digital-product requirements documents.
Performs editorial reviews, rewrites materials and manuals, produces technical writing, edits content and APA materials, develops scholarly marketing content, bibliographies, and training materials, and provides content guidance to editors and writers.
Works with Production staff to design and edit test components.
Coordinates submission of test materials to expert and bias review panels.
Manages online data collection, including validity checks, sample-matrix tracking, and creation of final datasets for analysis.
Identifies process efficiencies and gathers information to analyze, design, and implement automation where possible.
Prepares research results for dissemination in products and to internal and external audiences.
Prepares mockups and contributes to slide decks related to product development.
Uses AI tools responsibly and accurately to enhance research, analysis, and product-development workflows in accordance with organizational policies.
Performs other similar or related duties as required or assigned.