Architect

Virtusa; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Virtusa is seeking a leader to spearhead AI-driven transformation initiatives across clinical data platforms, including GenAI-powered code conversions and automation strategies. The role requires hands-on experience with SAS, R, SQL, and platforms like Veeva CDMS and AWS to streamline data workflows.

The candidate will ensure GxP validation, risk management, and data compliance across complex clinical data ecosystems while guiding design and operations for scalable solutions.

Qualifications

• Experience leading GenAI and automation projects in a regulated clinical environment.
• Proficiency in clinical data standards and programming languages SAS, R, SQL.

Responsibilities

• Design and implement AI-driven transformation initiatives to reduce effort and increase operational efficiency.
• Manage solution design and operations for clinical data ecosystems (e.g., Veeva CDMS, eDC, clinical data flow).
• Ensure strict adherence to GxP validation, risk management, and data compliance standards for all clinical data systems.

Skills

GenAI leadership

GxP awareness

Data governance

Tools

SAS

R

SQL

Veeva CDMS

AWS

Job description

• Spearhead the design and implementation of AI-driven transformation initiatives (e.g., GenAI-powered code conversions, automation indices) to reduce effort and increase operational efficiency.
• Proficiency in clinical data standards (SDTM, ADaM, ARS) and clinical programming (SAS, R, SQL).
• Manage solution design and operations for clinical data ecosystems (e.g., Veeva CDMS, eDC, clinical supply chain analytics).
• Proficiency in clinical data standards (SDTM, ADaM, ARS) and clinical programming (SAS, R, SQL).
• Proven experience leading GenAI and automation projects in a regulated clinical environment
• Hands-on experience with platforms like Veeva CDMS, AWS, and clinical data flow integration.
• Ensure strict adherence to GxP validation, risk management, and data compliance standards for all clinical data systems.