
Synthetic Data Engineer
15 hours ago
Synthetic Data Engineer
About the RoleWe seek an innovative Synthetic Data Engineer to develop cutting-edge frameworks for generating high-quality, audit-ready synthetic test data. This role will leverage expertise in AI/ML and Python automation to accelerate testing cycles, reduce reliance on production data, and ensure compliance with regulatory standards.
Key Responsibilities- Design and implement intelligent frameworks for synthetic and automated test data generation.
- Develop connectors for Define-XML, Pinnacle21 validation, and statistical programming workflows.
- Apply generative AI (LLMs, GANs, diffusion models) to model realistic clinical scenarios.
- Simulate domain-specific datasets (adverse events, labs, demographics, drug exposure) with variability and referential integrity.
- Strong Python expertise (pandas, NumPy, scikit-learn, PyTorch/TensorFlow).
- Hands-on experience generating synthetic clinical data or applying CDISC standards (SDTM, ADaM, Define-XML).
- Familiarity with clinical data management systems (Medidata Rave, Veeva CDB, Oracle InForm).
- Knowledge of GxP/21 CFR Part 11 and regulated data handling.
- Experience with test automation frameworks (PyTest, Robot Framework) and validation tools (Pinnacle21).
This is a unique opportunity to work with cutting-edge technologies, collaborate with experienced teams, and contribute to the development of innovative solutions for synthetic test data generation.
OthersThe ideal candidate will have a strong passion for innovation, excellent problem-solving skills, and the ability to work effectively in a team environment.
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