Data Anonymization Analyst
Job ID: REQ-10060559
Location: Hyderabad, India
Employment Type: Full-time | Regular
About the Role:
Novartis is seeking a Data Anonymization Analyst to join our global Data42 team, supporting clinical research and healthcare data initiatives. The role focuses on anonymizing clinical and non-clinical datasets—including clinical raw and derived data, lab and third-party data, images, documents, and other unstructured data—to enable secure secondary research while mitigating the risk of re-identification of personal information.
The ideal candidate will collaborate with cross-functional teams to ensure timely, accurate, and high-quality anonymization deliverables. This position also emphasizes innovation, efficiency, and adherence to industry standards in data anonymization practices.
Key Responsibilities:
Perform end-to-end data anonymization for datasets in line with company and industry standards (CDISC, SDTM/ADaM, eCTD, Define.xml).
Collaborate with internal and external analysts on anonymization projects and provide recommendations based on risk-based anonymization strategies.
Communicate effectively with stakeholders to ensure quality and timely delivery of anonymized datasets.
Build and maintain strong cross-functional relationships to summarize and report the status of deliverables.
Conduct quality control, validation, and ensure audit readiness of all anonymized datasets.
Maintain up-to-date knowledge of programming languages (SAS, Python) and modern data platforms (Databricks, Palantir Foundry).
Apply innovative approaches, including AI/LLM methods, to improve data anonymization efficiency.
Support process improvements and efficiency initiatives within the data anonymization workflow.
Key Performance Indicators (KPIs):
High-quality and timely anonymization deliverables.
Effective collaboration with global teams and stakeholders.
Implementation of innovative solutions to enhance efficiency.
Qualifications & Experience Required:
Education: BA/BS/MS in Statistics, Computer Science, Mathematics, Life Sciences (Genetics/Bioinformatics preferred), or equivalent international experience.
Experience: 2–3 years in a programming role or anonymization-related position within pharmaceutical, healthcare, or clinical trials environments.
Proficiency in SAS programming and commercial anonymization applications (preferably using risk-based statistical methods).
Strong understanding of CDISC standards, clinical data structures, and standard program development.
Knowledge of Python and experience with platforms like Databricks or Palantir Foundry is advantageous.
Awareness of regulatory requirements relevant to statistical programming (GCP, study procedures).
Excellent communication, negotiation, and teamwork skills, with global collaboration experience.
Project management skills with a proven record of delivering complex assignments in matrixed organizations.
Detail-oriented with a proactive approach to process and quality improvements.
Languages: Fluent English (oral and written).
Why Novartis:
Novartis is committed to transforming patient lives through innovative science. Joining our global team offers an opportunity to collaborate with passionate professionals, foster inclusion, and contribute to groundbreaking clinical research.
Benefits:
Comprehensive learning and development programs
Competitive compensation and rewards
Inclusive and supportive work environment
Application & Accommodations:
Novartis is dedicated to accessibility and reasonable accommodations for individuals with disabilities. If assistance is required during recruitment, please contact diversityandincl.india@novartis.com referencing Job ID REQ-10060559.
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