Principal Programmer, Data Anonymization
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Job Description
Principal Programmer responsible for clinical data anonymization and data-sharing activities at Veramed. Leading project management and ensuring compliance across various therapeutic areas.
Responsibilities:
- 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.
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