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3 hours ago
We are seeking an experienced Artificial Intelligence Engineer to join our team as a Data Generation Expert. The ideal candidate will have a strong background in designing and implementing intelligent frameworks for synthetic and automated test data generation.
Key Responsibilities:- Synthetic Test Data Automation
- Design and develop Python frameworks to generate synthetic clinical and operational datasets, ensuring high-quality and accurate results.
- Produce CDISC-compliant datasets (SDTM, ADaM) for data transformation, analysis, and reporting workflows, adhering to industry standards and regulations.
- Simulate domain-specific datasets (adverse events, labs, demographics, drug exposure) with variability and referential integrity, ensuring realistic and robust data.
- Develop connectors for Define-XML, Pinnacle21 validation, and statistical programming workflows, streamlining data integration and analysis.
- AI/ML in Data Generation
- Apply generative AI (LLMs, GANs, diffusion models) to model realistic clinical scenarios, leveraging the power of machine learning to create highly accurate and detailed data.
- Create synthetic patient journeys across EDC, eCOA, CTMS, LIMS, and PV systems, enabling seamless data integration and analysis.
- Use AI-driven automation to simulate rare or complex cases for stress and edge-case testing, identifying potential issues and improving data quality.
- Compliance & Data Governance
- Ensure adherence to regulatory standards (GxP, 21 CFR Part 11, HIPAA, GDPR), maintaining the highest level of data integrity and security.
- Implement anonymization/obfuscation techniques while preserving clinical and statistical fidelity, protecting sensitive information and ensuring compliance.
- Produce validation protocols and documentation for audit and inspection readiness, demonstrating expertise and accountability.
- Collaboration & Integration
- Work closely with Clinical Data Management, Biostatistics, Pharmacovigilance, and Compliance teams to gather requirements, ensuring seamless communication and collaboration.
- Embed test data generation into CI/CD pipelines, trial simulations, and automated validation environments, streamlining workflows and improving efficiency.
- Partner with subject matter experts to validate AI-generated datasets for regulatory acceptability, ensuring accuracy and reliability.
- Strong background in artificial intelligence, machine learning, and data science.
- Proficiency in programming languages (Python, R, etc.) and experience with data generation frameworks.
- Excellent understanding of regulatory standards and compliance requirements.
- Strong communication and collaboration skills, with ability to work effectively with cross-functional teams.
- Experience with data visualization tools and technologies (e.g., Tableau, Power BI).
This is an exciting opportunity to join our team and contribute to the development of innovative data generation solutions. If you are passionate about artificial intelligence, machine learning, and data science, we encourage you to apply.
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