Statistical Programmer (Data Anonymisation)

Overview

Ready to engineer precision in the world of biostatistics? Join our client's cutting-edge team and dive into your next challenge.

Hobson Prior is seeking a Statistical Programmer focusing on Data Anonymisation to support clinical trial data sharing and anonymization efforts. In this role, you will work on preparing clinical trial data for public disclosure, ensuring compliance with anonymization standards, and collaborating with internal teams to meet project goals. This position requires strong communication skills and the ability to interpret and apply anonymization criteria to study data.

Please note that to be considered for this role you must have the right to work in this location.

Responsibilities

• Prepare and upload clinical trial data to public platforms.
• Use clinical study reports (CSRs) and related data to create required outputs.
• Apply anonymization rules to study data to ensure privacy compliance.
• Investigate and determine how anonymization criteria apply to specific studies.
• Collaborate with internal teams to ensure accurate and timely data disclosures.
• Provide guidance and support to junior team members as needed.

Key Skills and Requirements

• Experience working with clinical trial data and disclosures.
• Familiarity with data anonymization processes and privacy standards.
• Ability to interpret and apply anonymization criteria to diverse datasets.
• Strong communication and teamwork skills.
• Knowledge of clinical data formats (e.g., SDTM, ADaM) is beneficial but not mandatory.

Application Information

For more information, please contact Antony Serrecchia.

If you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists visit the 'Contact Us' page.

Hobson Prior is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Hobson Prior is acting as an Employment Agency in relation to this vacancy.

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