Data Analyst & Quality Assurance Associate

Position Summary ACMT is seeking a highly motivated Data Analyst & Quality Assurance Associate to support ongoing surveillance initiatives and research projects. This role will focus on analytic support, and preparation of research outputs including abstracts, manuscripts, and reports. This role will also include data quality monitoring, cleaning and validating data, and addressing data inconsistencies and inaccuracies to ensure it meets quality standards and supports research and public health objectives. The ideal candidate brings strong applied data analysis skills, experience working with real-world clinical or public health datasets, and a demonstrated record of supporting research dissemination and data quality/control assessments. Key Responsibilities Data Analysis & Research Support Conduct statistical analyses for observational studies and surveillance projects, including but not limited to, descriptive summaries and bivariate/univariate statistics Clean, manage, and transform large, complex datasets for analysis Develop reproducible analytic workflows in R or similar statistical software Generate tables, figures, and summaries for manuscripts, abstracts, and presentations Data Quality Assurance Monitor data completeness, consistency, and validity across contributing sites using Research for Electronic Data Capture (REDCap) Develop and implement quality checks, audit procedures, and documentation Identify data anomalies (e.g., missingness, inconsistencies) and work collaboratively with project staff Support continuous improvement of data collection processes Scientific Output & Collaboration Contribute to abstracts, manuscripts, presentations to funding agencies, and technical reports Support grant-funded research deliverables and timelines, including descriptive data reports Collaborate with site investigators, epidemiologists, and project leadership across ToxIC programs Required Qualifications Master’s degree in Public Health, Epidemiology, Biostatistics, Data Science, or related field Minimum of 1-3 years of post-graduate professional experience in data analysis, research, or public health surveillance Demonstrated experience contributing to manuscripts, abstracts, and/or research reports Proficiency in R or other statistical software Proficiency with REDCap and systematically generating reports Experience conducting quality assurance and/or data quality checks Experience working with real-world healthcare, clinical, or public health datasets Strong attention to detail and commitment to data quality and reproducibility Preferred Qualifications Experience with multicenter research networks or surveillance systems Background in substance use, toxicology, healthcare, emergency medicine, or public health Experience with data visualization and reporting for scientific audiences Skills & Competencies Strong analytic and problem-solving abilities Ability to independently work on analyses Excellent written communication for scientific outputs Ability to manage multiple projects and deadlines independently Collaborative mindset with comfort working in multidisciplinary research teams