Advanced AI Engineer for Synthetic Data Generation

1 week ago


Pune, Maharashtra, India beBeeArtificial Full time ₹ 13,95,529 - ₹ 26,11,059
Job Title

Our organization is seeking a skilled Python AI Engineer to lead the development of synthetic test data generation frameworks.

This role will involve designing and implementing intelligent algorithms for generating realistic clinical and operational datasets. The ideal candidate will have expertise in generative AI, including LLMs, GANs, and diffusion models.

The selected individual will work closely with Clinical Data Management, Biostatistics, Pharmacovigilance, and Compliance teams to ensure seamless integration of test data generation into our CI/CD pipelines, trial simulations, and automated validation environments.

  • Key Responsibilities:
  • Develop advanced 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.
  • Apply generative AI techniques 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.
  • Ensure adherence to regulatory standards such as GxP, 21 CFR Part 11, HIPAA, and GDPR.
  • Implement anonymization/obfuscation while maintaining clinical and statistical fidelity.
  • Produce validation protocols and documentation for audit and inspection readiness.
  • Work collaboratively with cross-functional teams to gather requirements and ensure successful project outcomes.
  • Partner with Subject Matter Experts (SMEs) to validate AI-generated datasets for regulatory acceptability.


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