Senior Analyst, Clinical Trial Transparency Anonymization

Job Description

Location: Warsaw
Hybrid model of work (3 days from the office, 2 days from home per week)

The Clinical Transparency & Data Sharing team is within CMO office and leads the AstraZeneca Group of Companies, Clinical Trial Transparency Position Globally. We are responsible for clinical data sharing, clinical document sharing and clinical transparency patient engagement activities such as the Lay Summaries and Thank you cards.

The CTT Anonymization Analyst will process clinical study documents for anonymization and/or pseudo anonymization in support of Health Canada’s PRCI process, EMA policy 0070 and other disclosure of clinical documents that must be redacted or otherwise anonymized. The individual is accountable to anonymize submission clinical study documents and associated study data using the latest tools and industry best practices. This role will require an in-depth understanding of associated regulatory policies, privacy, clinical data and documents. The ideal candidate possesses the following:

• Strong understanding of clinical study datasets, clinical documents (CSR, CSP, SAP) and outputs (TLFs)
• Experience working with data to create Clinical Study Reports (CSRs)
• Expertise in using systems and an interest in using the latest technology to achieve challenging tasks
• Proven track record for attention to detail
• Strong analytical and reviewing skills
• Stay focused and heedful in delivery of assigned tasks
• Proven track record for looking at innovative ways to solve problems
• Scientific background is beneficial
• Understanding SAS programming language and or clinical data sets is an advantage

This role will work globally with individual study teams to deliver anonymized documents for regulatory submission and data sharing. This role will NOT manage the submission; they will provide submission ready deliverables to regulatory submission teams.

Typical Accountabilities and required competencies

• Create Anonymized Clinical Documents following best practices and established SOPs.
• Contribute to the Anonymization Report for the reports created.
• Be a system expert in the use of Technology Tool for delivery of Anonymized Clinical Documents.
• Perform System User Acceptance Testing (UAT) as needed to grow the key tools used to do this job.
• Understands the data collected and used in the Clinical Study lifecycle from site through to Clinical Document authoring.
• Work closely with the Biometrics Data Operations Data De-Identification Team on Risk Measurement and quantification of datasets.
• Accountable for good Information Practice on all assigned activities
• Maintain high level of understanding of regulatory policies and support protection of personal information
• Support development of any training materials as needed in collaboration with direct manager.
• Ensures adherence to all applicable AstraZeneca requirements, including but not limited to clinical operations, quality, and data privacy.
• Demonstrates a high focus on quality and the ability to meticulously quality check work delivered.
• Work with a continuous improvement mindset, looking for opportunities to improve the process and increase delivery efficiencies as this capability grows.
• Support the delivery of any and all Clinical Trial Transparency activities at AstraZeneca as assigned.

Essential

• Competent to advanced verbal and written communication and collaboration skills.
• Advanced problem solving skills.
• Diligence – attention to detail and ability to manage a programme of concurrent activities.
• Concentration on a task with high order of logic and clear thinking when working with fine details across documents.
•  Ability to apply programming knowledge and skills to problems, problem solving, and quality focus under supervision.
• Ability to understand and adhere to defined business processes and accurately complete and manage associated documentation.
• Understands how data risk management is used to support anonymizing clinical study data and reports.
• Awareness of database set-up and report publishing requirements.
• Relevant SAS programming knowledge and experience to a proficient level for risk measurement.
• Understands how programming is used to deliver technical programming and information components of a study, including but not limited to the following:
  • Study Data Tabulation Model (SDTM) and Analysis Data Model (ADaM) datasets
  • Tables Listings and Figures (TLFs)
  • Clinical Trial Transparency deliverables (data anonymization, results posting files)
  • Awareness of how this data is used to create Clinical Study Reports and other Clinical Documents.
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