
Data Science Lead
2 weeks ago
Job Title:
We are seeking an Artificial Intelligence Engineer to design and implement intelligent frameworks for synthetic test data generation in support of clinical trials, regulatory submissions, and GxP-compliant systems.
Key Responsibilities:
- Synthetic Test Data Automation
- Create software frameworks to generate synthetic clinical and operational datasets.
- Produce CDISC-compliant datasets (SDTM, ADaM) for data transformation, analysis, and reporting workflows.
- Simulate domain-specific datasets with variability and referential integrity.
- Develop connectors for Define-XML, Pinnacle21 validation, and statistical programming workflows.
- Ai/ml in Data Generation
- Apply generative AI models to simulate realistic clinical scenarios.
- Create synthetic patient journeys across EDC, eCOA, CTMS, LIMS, and PV systems.
- Use Ai-driven automation to simulate rare or complex cases for stress and edge-case testing.
- Compliance & Data Governance
- Ensure adherence to GxP standards.
- Implement anonymization/obfuscation while maintaining clinical and statistical fidelity.
- Produce validation protocols and documentation for audit and inspection readiness.
- Collaboration & Integration
- Work with Clinical Data Management, Biostatistics, Pharmacovigilance, and Compliance teams to gather requirements.
- Embed test data generation into CI/CD pipelines, trial simulations, and automated validation environments.
- Partner with SMEs to validate Ai-generated datasets for regulatory acceptability.
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