Q

Quanticate

Clinical data management and analysis services

Team Lead of Biometrics Automation & AI Architecture

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedHybrid

About the Job

Requirements

  • Comprehensive understanding of clinical data standards, reporting practices, and regulatory frameworks.
  • Familiarity with artificial intelligence technologies, including large language models and retrieval-based systems.
  • Awareness of governance and validation requirements in regulated environments.
  • At least 8 years of relevant experience in biometrics or statistical programming within contract research organization, pharmaceutical, or healthcare research settings.
  • Practical experience with Clinical Data Interchange Standards Consortium implementation and clinical deliverables.
  • Proven involvement in automation or transformation initiatives.
  • Experience operating within global, cross-functional teams.
  • Strong programming capability in R, Python, and SAS.
  • Ability to design and manage scalable artificial intelligence-driven solutions.
  • Analytical thinking and problem-solving skills, especially with complex datasets.
  • Clear communication and stakeholder management abilities.
  • Leadership and team development skills.
  • High level of accuracy and focus on quality and compliance.

Responsibilities

  • Develop and lead the organization’s artificial intelligence strategy for statistical programming, including deployment of secure enterprise artificial intelligence platforms such as cloud-based large language model environments.
  • Build automated, metadata-driven pipelines that convert statistical analysis plans and shell specifications into production-ready code.
  • Establish governance frameworks for artificial intelligence use, including standard operating procedures, validation procedures, and audit controls aligned with Good Practice requirements.
  • Design safeguards within artificial intelligence-driven processes to appropriately handle missing or incomplete clinical data without introducing bias.
  • Ensure strict data protection standards so that sensitive patient-level data and protected health information are never exposed to artificial intelligence systems.
  • Drive adoption of artificial intelligence tools by training and mentoring statistical programmers and data scientists in structured prompting and automated validation techniques.
  • Collaborate cross-functionally with biostatistics, quality assurance, and engineering teams to maintain regulatory compliance and technical excellence.

About the Company

Quanticate

Clinical data management and analysis services

Quanticate is a global data-focused clinical research organization that supports pharmaceutical, biotechnology, and medical device companies with the data side of clinical trials, including Clinical Data Management, Biostatistics, SAS Programming, data quality oversight, Medical Writing, and Pharmacovigilance. It works by deploying staff to manage trial data—cleaning and organizing it, running statistical analyses, writing reports, and monitoring quality—delivered through flexible models like study-level support, functional service provision, strategic full data-services, or technical consulting. The company differentiates itself with a data-first approach, deep specialization across the data lifecycle, global reach, and adaptable engagement options tailored to each trial. Its goal is to be the supplier of choice for data-driven clinical research by delivering accurate, timely, and compliant data solutions that speed up and improve decision-making in trials.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Hitchin, United Kingdom
Founded
1994

Recently Posted Jobs

Explore more opportunities at Quanticate

See more jobs