Life Sciences Analytics Consultant - RWE & Data Insights

Trinity Life Sciences; Princeton (NJ); On-site; USD 96,000 - 144,000; Full time

Benefits offered by this job

Annual bonus

Job summary

Trinity Life Sciences is seeking a talented Consultant to join the Enterprise Analytics Delivery team. You will design, develop, and execute analyses on life sciences secondary data sources, including RWE data, to deliver value-added insights for clients.

Work with cross-functional teams to translate findings into actionable business insights, present results, and support proposal development. Strong communication and multi-project management are essential.

Qualifications

• 2–3 years analyzing healthcare claims data.
• Experience with life sciences real-world data and analytics methods.
• SQL with Python or R for data querying.
• Proficiency in MS Excel and PowerPoint.
• Familiarity with BI tools (Tableau, PowerBI) and Git.

Responsibilities

• Understand clients’ business needs and design methodological solutions with senior team members.
• Assess industry secondary data sources and weigh pros/cons of each data source.
• Drive insights and present findings with clear business implications.
• Translate analysis findings into actionable client insights.
• Analyze and interpret secondary data using SQL, Python, or R.
• Assist in proposal development to gain methodological expertise.
• Act as point of contact for client deliverables and communicate clearly.
• Leverage AI tools appropriately while maintaining quality control.
• Collaborate with cross-functional SMEs to develop study rules.
• Support analytics product testing under senior guidance.

Skills

SQL

Python

R

Excel

PowerPoint

Tableau

PowerBI

Git

English communication

Education

BS/MS/PhD in Public Health/CS/Math/Statistics/Biostatistics/Engineering

Tools

Git

Tableau

PowerBI

MS Office

Job description

Trinity Life Sciences is seeking a talented Consultant to join the Enterprise Analytics Delivery team. You will design, develop, and execute analyses on life sciences secondary data sources, including RWE data, to deliver value-added insights for clients.

Work with cross-functional teams to translate findings into actionable business insights, present results, and support proposal development. Strong communication and multi-project management are essential.