Pharma Analytics Lead

Strategic Research Insights, Inc.; Princeton (NJ); On-site; USD 90,000 - 150,000; Full time

Job summary

Strategic Research Insights, Inc. is a healthcare analytics firm near Princeton, NJ. We seek an Associate Manager, Analytics to guide pharma client strategies with data-driven insights.

You will work in small teams, analyze pharmaceutical datasets, and present findings to clients using advanced analytics tools. The role emphasizes client management, translating business needs into analytics, and producing reusable code while maintaining data quality across projects.

Qualifications

• Proficiency with Excel is required.
• Experience in data analysis is required.
• US pharma experience preferred.
• Bachelor’s degree or higher.
• Critical thinking and analytical mindset are essential.
• Willing to work in a consulting environment.

Responsibilities

• Develop analytical approaches and summarize findings in presentations.
• Manage clients and guide analytics projects for pharma clients.
• Handle patient-level transaction data across therapy areas.
• Translate business requirements into analytical initiatives.
• Learn and use state-of-the-art analytics.
• Create custom datasets by combining data from multiple sources.
• Develop, document, and reuse efficient code.
• Analyze survey or secondary data to provide client insights.
• Collaborate to ensure analyses are interpreted correctly and communicated.
• Conduct data analysis using SAS, R, Python; ensure quality.
• QA data analyses to maintain quality standards.

Skills

Excel

Education

Bachelor’s degree or higher

Tools

SAS

R

Python

SQL

Tableau

Job description

Strategic Research Insights, Inc. is a healthcare analytics firm near Princeton, NJ. We seek an Associate Manager, Analytics to guide pharma client strategies with data-driven insights.

You will work in small teams, analyze pharmaceutical datasets, and present findings to clients using advanced analytics tools. The role emphasizes client management, translating business needs into analytics, and producing reusable code while maintaining data quality across projects.