Data Manager • Location: Irvine, CA, 92618 • Schedule: Hybrid (2 days onsite, 3 days remote) • Contract: 12 month contract, potential for extension or conversion • Pay Range: 45/hr (potential for flexibility depending on candidate experience) About the Role We are seeking a highly motivated Data Manager to join our team at the forefront of cardiovascular innovation. In this role, you will manage and analyze complex clinical and operational datasets, contribute to scientific publications, and collaborate across departments to drive data-driven decision-making. This is an exciting opportunity to work in a fast-paced, regulated environment where your work directly impacts patient outcomes. Key Responsibilities Data Analysis & Interpretation • Analyze large-scale clinical and operational datasets from electrophysiology and cardiovascular studies. • Apply statistical and machine learning techniques to identify trends, patterns, and actionable insights. • Collaborate with biostatisticians and clinical teams to ensure data quality, integrity, and relevance. Scientific Communication & Publication • Draft, edit, and submit manuscripts, abstracts, and posters for peer-reviewed journals and conferences. • Translate complex data into clear, compelling narratives for both scientific and business audiences. • Ensure compliance with publication standards, authorship guidelines, and regulatory requirements. Data Management & Governance • Oversee data collection, cleaning, and validation processes in collaboration with clinical operations. • Maintain documentation and audit trails to ensure inspection readiness and regulatory compliance. • Support the development and implementation of data standards and best practices across the organization. Cross-functional Collaboration • Partner with R&D, Regulatory, Clinical Affairs, and Marketing to align data strategies with business goals. • Serve as a subject matter expert in data interpretation and evidence generation. Qualifications Required: • Master’s or PhD in Data Science, Biostatistics, Bioinformatics, Biomedical Engineering, or a related field. • Bachelor’s degree with exceptional experience will also be considered. • 1–4 years of experience in data analysis, preferably in a clinical, medical device, or life sciences setting. • Proficiency in statistical software (e.g., R, Python, SAS) and data visualization tools. • Strong understanding of clinical research, regulatory requirements, and scientific publication processes. • Excellent written and verbal communication skills. Preferred: • Experience with cardiovascular or electrophysiology data. • Familiarity with FDA regulations, GCP, and data privacy standards (e.g., HIPAA, 21 CFR Part 11). • Experience working in a cross-functional, regulated environment.