Clinical Operations Analyst

Key Responsibilities

1. Data Analysis & Insights

• Gather, validate, and analyze data from clinical, operational, and administrative systems.
• Build interactive reports and dashboards using

  Power BI

  ,

  Tableau

  , or similar tools to present insights to leadership and stakeholders.
• Generate both routine and ad hoc analytical outputs to support business decisions and performance reviews.

2. Performance Measurement

• Develop and monitor

  Key Performance Indicators (KPIs)

  and

  operational metrics

  across clinical and research programs.
• Identify performance trends, highlight deviations, and provide actionable insights to improve efficiency and quality.
• Present data-driven findings in a clear, visual, and strategic format for leadership teams.

3. Clinical Operations & Research Support

• Support

  clinical operations

  and

  clinical research

  teams by analyzing data related to study execution, site performance, patient enrollment, and protocol adherence.
• Provide analytical inputs for resource planning, process optimization, and cost analysis.
• Collaborate with research and operations teams to improve data governance and consistency across systems.

4. Process & Quality Improvement

• Partner with cross-functional teams to evaluate workflows, identify bottlenecks, and recommend process improvements.
• Leverage data analytics to drive initiatives that improve

  operational efficiency

  ,

  study performance

  , and

  patient outcomes

  .
• Contribute to continuous improvement efforts through evidence-based analysis and metric tracking.

Qualifications & Skills

• Bachelor’s or Master’s degree in

  Life Sciences, Healthcare, Statistics, Data Analytics

  , or related discipline.

• 4–6 years

  of experience in data analytics within

  clinical operations

  ,

  clinical research

  , or

  healthcare domains

  .
• Strong proficiency in:

• Data visualization tools:

  Power BI, Tableau, or Qlik

• Querying languages:

  SQL (Python or R a plus)

• Data handling:

  Advanced Excel, data cleaning, and transformation techniques
• Solid understanding of

  clinical operations processes

  , KPIs, and research data frameworks.
• Excellent analytical, problem-solving, and storytelling skills with a strong attention to detail.
• Effective communicator who can translate data insights into business actions.
• Ability to work independently with minimal supervision while collaborating across diverse teams.
• Deep functional/domain Expertise/experience with CTMS (not EDC)

About Agilisium

Life Sciences industry’s premier Autonomous Agentic AI and Applied AI Services Company

Over the past decade, we’ve established deep credibility across global pharma and biotech organizations through our specialized expertise and consistent growth:

• Everest Group

  – Recognized as a Leader in Life Sciences Digital Services for the Mid-Market

• Inc. 5000

  – Featured among the fastest-growing companies in the U.S. for 9 consecutive years

• AWS Advanced Consulting Partner

  – one of the Top 13 companies globally to hold both GenAI and Life Sciences Competency Badges

• Trusted by Fortune 500 Pharma

  – Partnering with several Top 10 global Life Sciences companies

Agilisium continues to invest in top-tier talent to fuel innovation, scalability, and impact across the Life Sciences value chain.

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