Clinical Data Specialist II

Contribute to the advancement of ATEC's spine surgery technologies by supporting clinical research within Scientific Affairs. The ATEC Clinical Data Specialist II will be responsible for supporting clinical evidence initiatives, with an emphasis on data collection and management. This role involves ensuring the accuracy, integrity, and compliance of clinical data, as well as working closely with cross-functional teams to execute sponsored and site-initiated clinical studies.

Essential Duties and Responsibilities

Experienced in one or more data domains; clinical data management and/or analysis:

Data Management

• Contribute to the development and refinement of protocol-specific cases report forms (CRFs) and guidelines for accurate CRF completion.
• Develop and implement protocol-specific data management plans according to study protocol/objectives and data curation for facilitation and optimization of data analysis, compliant with ATEC's data privacy and security policies.
• Build or modify data structures and databases to support clinical studies, ensuring compatibility with downstream analytics.
• Perform detailed data cleaning and curation activities including transformation, formatting, and resolving data inconsistencies or discrepancies.
• Manage data queries and discrepancies, working with site personnel to resolve issues promptly.
• Prepare datasets for statistical analysis in compliance with study protocols, formatting specifications, and regulatory guidance.

Data Analysis

• Conduct descriptive and inferential statistical analyses, including t-tests, ANOVA, chi-square tests, and regression analyses.
• Create publication- or presentation-ready visualizations, dashboards, and summary reports for internal stakeholders and external collaborators.

Responsibilities

• Collaborate with other research personnel to generate factual and accurate output from study data, including interim reports, conference abstracts, presentations, manuscripts, product/procedural training and collateral.
• Contribute to documentation, SOP development, and process improvement initiatives related to data handling and analysis.
• Access ongoing training and professional development to maintain familiarity with current industry and academic research to apply the latest and most useful statistical learning techniques to help extract patterns and trends from data.
• Perform other duties as required.