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

Agilisium is the

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

• . We

reimagine, develop, and co-develop AI-engineered business processes

that are autonomous, scalable, and purpose-built for Life Sciences.

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.

Learn more :