Job Title: Data Anonymization Analyst – Data42
Division:
Biomedical Research
Business Unit:
Pharma Research
Location:
Hyderabad, India (Office)
Company / Legal Entity:
Novartis Healthcare Private Limited (IN10 – FCRS = IN010)
Functional Area:
Research & Development
Job Type:
Full-time, Regular
Shift Work:
No
Major Activities
Perform data anonymization activities for Data42.
Collaborate with internal and external data anonymization analysts.
Make anonymization decisions/recommendations as required.
Communicate with stakeholders to ensure quality and timely delivery of anonymization outputs.
Build and maintain strong relationships with cross-functional teams; provide status updates on deliverables.
Ensure compliance with company, department, and industry standards (e.g., CDISC).
Clarify additional project-level requirements with functional leadership.
Deliver timely and high-quality anonymization and validation of datasets and outputs.
Ensure audit readiness and quality control of assigned deliverables.
Maintain up-to-date knowledge of programming tools (e.g., SAS) and industry requirements (e.g., CDISC SDTM/ADaM, eCTD, Define.xml).
Understand and contribute to risk-based anonymization strategies (statistical anonymization approach).
Key Performance Indicators (KPIs)
Timeliness and quality of anonymization deliverables.
Effective collaboration with other Data42 product teams.
Ability to execute responsibilities with measurable impact.
Contribution to innovative, efficient anonymization solutions.
Impact on the Organization
Successful, timely, and high-quality anonymization project delivery.
Implementation of innovative solutions to improve efficiency.
Contribution to Data42 anonymization product team through impactful deliverables.
Minimum Requirements
Education (Minimum/Desirable):
BA/BS/MS or international equivalent in Statistics (preferred), Computer Science, Mathematics, Life Sciences (Genetics/Bioinformatics), or related fields.
Experience:
4–5 years in a programming role, with end-to-end anonymization or related experience in pharmaceutical/healthcare/clinical trials industry.
SAS experience with proven programming skills.
Experience with commercial anonymization applications (preferably risk-based anonymization methodology).
Strong knowledge of industry standards including CDISC data structures.
Basic knowledge of Python; familiarity with Databricks and Palantir Foundry platforms preferred.
Interest in applying AI/LLMs for data anonymization and automation.
Good understanding of regulatory requirements (e.g., GCP, study procedures).
Strong communication and negotiation skills in a global setting.
Proven project management skills in complex global matrix structures.
Collaborative and agile mindset with attention to detail.
Languages:
Fluent English (oral and written).
Why Novartis?
At Novartis, helping patients and their families goes beyond science. It takes a community of smart, passionate people working together to achieve breakthroughs that improve lives.
Learn more: People & Culture
Join Our Novartis Network
Not the right role for you? Stay connected with us: Talent Network
Benefits & Rewards
Discover how Novartis helps you thrive: Benefits Handbook
Accessibility & Accommodation
Novartis provides reasonable accommodation to individuals with disabilities. If you require support during the recruitment process or in performing essential job functions, please email: diversityandincl.india@novartis.com (include the job requisition number).
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