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Automated Talent Sourcing and Onboarding Platform for Specialized Clinical Research Roles
  1. case
  2. Automated Talent Sourcing and Onboarding Platform for Specialized Clinical Research Roles

Automated Talent Sourcing and Onboarding Platform for Specialized Clinical Research Roles

trigent.com
Medical
Business services

Challenges in Sourcing and Onboarding Niche Clinical Research Talent

The client faces significant difficulties in efficiently sourcing highly specialized clinical research professionals, including Senior SAS Programmers and Biostatisticians. The shortage of suitable candidates, combined with lengthy hiring processes—often exceeding six weeks—delays project timelines and impacts research deliverables. The need for rapid onboarding (within two weeks) to meet project milestones requires an optimized recruitment and onboarding process enabled by advanced talent acquisition technology.

About the Client

A mid-sized pharmaceutical or biotech organization that requires highly specialized clinical research professionals, such as statistical programmers and biostatisticians, to support drug development and medical research projects.

Goals for Enhancing Clinical Research Talent Acquisition Efficiency

  • Reduce time-to-hire and onboarding for specialized clinical research roles by at least 70%.
  • Shorten overall recruitment cycle from six weeks to two weeks or less.
  • Improve the quality of talent sourcing through targeted, AI-driven candidate matching.
  • Streamline onboarding procedures to facilitate swift integration of new hires.
  • Enhance employer branding to attract top-tier, experienced clinical research professionals.
  • Optimize resource allocation and cut recruitment-related expenses.

Essential Features for an Automated Clinical Research Talent Platform

  • AI-powered candidate sourcing engine leveraging extensive talent networks and advanced search algorithms.
  • Profiling system that aligns job descriptions with candidate skills, experience, and industry expertise for optimal matching.
  • Automated screening and validation modules with assessment tests for technical skills and industry experience.
  • Candidate ranking and shortlisting functionalities based on qualification fit and predictive success likelihood.
  • Candidate communication and scheduling system for interviews and assessments.
  • Onboarding workflow management to ensure smooth resource integration within two weeks.
  • Employer branding enhancement tools to attract high-quality candidates.

Preferred Technologies and System Architecture

AI and machine learning frameworks for candidate matching
Scalable cloud infrastructure for high availability and performance
Secure data storage and compliance with data privacy standards
Modern web application frameworks for user interfaces and candidate portals

Necessary External System Integrations

  • LinkedIn, job boards, and talent networks for candidate sourcing
  • Assessment and validation tools for skill testing
  • Applicant tracking systems (ATS)
  • HR management systems for onboarding coordination

Key Non-Functional System Requirements

  • High scalability to accommodate large candidate pools and simultaneous user interactions
  • Performance metrics ensuring candidate matching and processing within seconds
  • Robust security protocols to protect sensitive candidate and client data
  • Reliable uptime with 99.9% availability
  • Compliance with relevant industry data protection standards

Projected Business Impact of the Talent Acquisition Platform

Implementing this platform is expected to reduce recruitment and onboarding time by at least 70%, achieving a turnaround from six weeks to two weeks for critical clinical research roles. This acceleration will enable the client to meet project deadlines more reliably, optimize resource utilization, and attract top-tier specialized talent, ultimately enhancing research capabilities and reducing recruitment costs.

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