Job Title: Data Anonymization Analyst
Location: Hyderabad, India
Division: Biomedical Research
Business Unit: Pharma Research
Company / Legal Entity: Novartis Healthcare Private Limited (IN10 / IN010)
Functional Area: Research & Development
Employment Type: Full-time, Regular
Shift Work: No
About the Role
As a Data Anonymization Analyst at Novartis, you will play a key role in ensuring the timely and high-quality anonymization of clinical datasets. You will collaborate with internal and external teams, provide anonymization recommendations, and maintain compliance with industry standards and regulatory requirements.
Key Responsibilities
Perform data anonymization activities for data42 projects.
Collaborate with other data anonymization analysts on assigned projects.
Make anonymization decisions and recommendations as required.
Communicate effectively with stakeholders to ensure anonymization and reporting meet quality standards and timelines.
Build and maintain strong working relationships with cross-functional teams; summarize and present the status of deliverables.
Ensure compliance with company, departmental, and industry standards (e.g., CDISC); clarify project-level requirements in liaison with functional leadership.
Ensure timely and accurate anonymization and validation of datasets and outputs.
Maintain quality control and audit readiness for all anonymization deliverables.
Stay updated on programming software (e.g., SAS) and industry standards (e.g., CDISC SDTM/ADaM, eCTD, Define.xml); attend functional meetings and training.
Apply and ideate around risk-based anonymization strategies, using statistical approaches to anonymize data effectively.
Key Performance Indicators (KPIs)
Timely and high-quality delivery of anonymization outputs.
Collaboration and alignment with other data42 product teams.
Effective execution of responsibilities and contributions as assessed by the Anonymization Product Owner and customers.
Innovative solutions and process improvements to support efficient anonymization.
Impact
Ensure successful delivery of assigned projects with high-quality anonymization output.
Contribute to innovative and efficient anonymization processes.
Support the data42 anonymization product team with impactful work products.
Minimum Requirements
Education:
BA/BS/MS or international equivalent in Statistics (preferred), Computer Science, Mathematics, Life Sciences (Genetics/Bioinformatics), or related fields.
Experience:
2–3 years in a programming role managing end-to-end anonymization or related projects in pharmaceutical, healthcare, or clinical trial support.
Hands-on experience with SAS and executing anonymization applications (preferably using risk-based anonymization methodology).
Knowledge of CDISC data structures and standard programming practices.
Familiarity with Python and platforms like Databricks or Palantir Foundry is an advantage.
Exposure to AI/LLM approaches for anonymizing data and autonomous workflows.
Understanding of regulatory requirements relevant to statistical programming (e.g., GCP).
Strong knowledge of data management, data anonymization, and clinical data structures.
Good communication, negotiation, and global collaboration skills.
Project management experience in complex global matrix structures.
Attention to detail and experience with agile methodologies.
Languages:
Fluent in English (oral and written).
Why Novartis
At Novartis, we believe that helping people with disease and their families requires a community of smart, passionate individuals. Collaborate, support, and inspire each other while contributing to breakthroughs that change patients’ lives.
Learn more about our culture: Novartis People & Culture
Join our talent community: Novartis Talent Network
Benefits and Rewards: Novartis Benefits Handbook
Accessibility & Accommodation
Novartis is committed to providing reasonable accommodation to individuals with disabilities. If you require accommodation during any part of the recruitment process or to perform the essential functions of a role, please email: diversityandincl.india@novartis.com with the nature of your request, your contact information, and the job requisition number.
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