Gen AI Engineer

Overview

Role: ADaM, SDTM Implementation Expert

Location: Remote

Type: Permanent

Job Description:

5+ years of ADaM, SDTM Implementation Expert with a strong background in statistical programming and clinical data standards.

Support biostatistical analysis by providing ADaM datasets tailored for analysis.

Experience with Gen AI in processing SDTM data and ADaM data analysis.

Strong programming experience with Python, SQL for data handling and automation.

Program and validate derived datasets, statistical tables, listings, and figures (TLFs).

Ensure statistical traceability from raw data to final analysis outputs.

Experience is required in transforming clinical trial data from its raw, collected format (in SDTM - Study Data Tabulation Model)

into ADaM (Analysis Data Model).

Develop and implement SDTM and ADaM datasets in compliance with CDISC standards.

Develop and maintain Data pipelines, processing semi-structured, structured and unstructured data.

Experience in clinical trial data management and regulatory submissions.

Experience with containerization (Docker, ECS, Kubernetes).

Experience with SQL and NoSQL databases such as PostgreSQL, MySQL, and DynamoDB is required.

Excellent to have

Design, train, and fine-tune Generative AI models (LLMs, GANs, VAEs, Diffusion Models).

Design and optimize prompt strategies for LLMs (GPT, Claude, Llama, Mistral, etc.).

Strong understanding of LLMs, diffusion models, and generative techniques.

Job Type: Permanent

Pay: ₹1,500,000.00 - ₹2,000,000.00 per year

Schedule:

• Day shift
• Monday to Friday

Experience:

• ADaM, SDTM Implementation: 5 years (Required)
• Gen AI: 3 years (Required)
• Python: 3 years (Required)
• SQL for data handling and automation: 3 years (Required)
• Docker, ECS, Kubernetes: 3 years (Required)
• SQL and NoSQL databases: 4 years (Required)

Work Location: Remote