
Advanced AI Developer
2 weeks ago
Job Opportunity:
We are seeking a Python AI Engineer to design and implement intelligent frameworks for synthetic and automated test data generation in support of clinical trials, regulatory submissions, and GxP-compliant systems.
This role will leverage AI/ML and Python automation to deliver high-quality, audit-ready datasets that reduce reliance on production data, accelerate testing cycles, and ensure compliance with FDA, EMA, and global regulatory standards.
Key Responsibilities:
Synthetic Test Data Automation
- Develop and build Python 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 (adverse events, labs, demographics, drug exposure) with variability and referential integrity.
- Develop connectors for Define-XML, Pinnacle21 validation, and statistical programming workflows.
Ai/ml in Data Generation
- Apply generative Ai (LLMs, GANs, diffusion models) to model 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, 21 CFR Part 11, HIPAA, and GDPR standards.
- Implement anonymization/obfuscation while maintaining clinical and statistical fidelity.
- Produce validation protocols and documentation for audit and inspection readiness.
Required Skills & Qualifications:
Technical Expertise
- Pandas, NumPy, scikit-learn, PyTorch/TensorFlow, LangChain, etc.
Data Generation Experience
- CDISC standards (SDTM, ADaM, Define-XML)
Clinical Data Management Systems
- Medidata Rave, Veeva CDB, Oracle InForm, etc.
GxP Compliance Knowledge
- Regulated data handling
Test Automation Frameworks
- PyTest, Robot Framework
Validation Tools
- Pinnacle21
Preferred Qualifications:
Background Supporting Clinical Trial Systems
- EDC, CTMS, PV, LIMS, eCOA
Statistical Workflow Understanding
- SAS, R
Cloud Experience
- AWS, Azure, GCP
Inspection Readiness Experience
- Validation documentation in pharma
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