Principal Programmer, Data Anonymization

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Veramed

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2012

🏥 Healthcare

💊 Pharmaceuticals

🧬 Biotechnology

Healthcare • Pharmaceuticals • Biotechnology

Veramed is a biometrics-focused contract research organization (CRO) that provides data management, biostatistics, programming, evidence & value generation, and standards/AI services to pharmaceutical and biotechnology clients. The company offers end-to-end biometrics support, Functional Service Provider (FSP) and project-based delivery models, regulatory submission-ready data, advanced automation and AI (Veramed. ai), CDISC compliance, and data visualization to minimize submission issues and audit findings. Veramed positions itself as a trusted partner for biotech and pharma, emphasizing operational governance, scalability, and a people-first culture.

📋 Description

• Support the management and delivery of clinical data anonymization and data‑sharing activities across a range of studies, clients and therapeutic areas. • Lead or contribute to project planning, execution, risk assessment and quality oversight to ensure data are anonymized, compliant and fit for research use. • Provide leadership across projects, ensuring deliverables, timelines and stakeholder interfaces, including client communication, are effectively managed. • Apply a thorough understanding of clinical trial structures, data types and documentation to maintain data integrity and utility across multiple therapeutic areas. • Execute and oversee data anonymization activities across studies. Apply appropriate anonymization techniques based on study design, population and data sensitivity. • Use specialized anonymization tools and platforms to prepare and transfer datasets to secure data‑sharing environments. • Review clinical trial documents including protocols, SAPs, CRFs and CSRs to understand context and identify confidentiality risks. • Author or review anonymization-related documentation, dataset specifications and variable-level justifications. • Maintain awareness of emerging standards, guidelines and regulatory expectations. • Identify data issues, outliers or risk‑driving variables that may affect identifiability. • Perform and review rigorous quality control checks to ensure PII and indirect identifiers have been removed, masked or transformed appropriately. • Conduct structured risk assessments considering disease prevalence, study size and data sensitivity to determine anonymization thresholds. • Maintain proficiency in relevant tools, programming languages and methodologies related to data anonymization and disclosure. • Lead internal and external project meetings related to data anonymization and disclosure. • Present progress updates to clients and internal stakeholders. • Share practical, scientific and technical expertise with colleagues and contribute to team learning. • Build strong, collaborative relationships with internal teams, clients and cross‑functional stakeholders. • Ensure all work complies with internal SOPs, client requirements and applicable regulations.

🎯 Requirements

• BSc, MSc or PhD in a numerical or data-focused discipline (or equivalent industry experience). • Minimum of 6 years industry experience, ideally within clinical data anonymization, biostatistics, statistical programming, clinical data management or related fields. • Understanding of the clinical drug development process, disease areas, trial endpoints and study designs. • Experience with data anonymization methodologies and clinical trial results disclosure. • Knowledge of relevant regulations including HIPAA, GDPR, EMA Policy 0070 and FDAAA 801. • Ability to assess privacy risks and apply proportionate mitigation strategies.

🏖️ Benefits

• Contribute to process improvement initiatives in anonymization, data‑sharing workflows and regulatory compliance. • Develop and deliver internal training related to anonymization techniques, regulatory standards and disclosure practices.