Biotech Commercial Analytics Lead

Roivant; New York (NY); Hybrid; USD 115,000 - 150,000; Full time

Benefits offered by this job

Equity participation

Benefits package

Job summary

Roivant Sciences, Inc. is seeking a data analytics professional to build scalable analytical pipelines and translate data into strategic decisions. You will develop SQL and Python workflows that process commercial and real-world data, and you will present findings to senior leadership.

You'll work cross-functionally, embed with decision-makers, and contribute to near-term launches while advancing a data-driven culture with equity participation and a comprehensive benefits package.

Qualifications

• 2 to 4 years of analytical or quantitative experience.
• Proficiency in SQL and Python.
• Familiarity with claims data, electronic health records, and diagnostic codes is a plus.
• Able to explain complex quantitative findings clearly to non-technical audiences, including CEO-level stakeholders.
• Intensely curious, resourceful, and motivated.

Responsibilities

• Build systems in SQL and Python that pull signals out of commercial, claims, and electronic health record data automatically.
• Create durable, repeatable analytical pipelines based on senior leadership priorities and questions.
• Synthesize analyses into clear, decision-ready memos and presentations that inform strategic decisions around near-term commercial launches.
• Embed with decision-makers to quickly ship analyses, and iterate in tight loops on the highest-priority questions from Roivant and Vant leadership.
• Present your work to colleagues, communicating insights in a clear and compelling way.

Skills

SQL

Python

Data analysis

Communication

Education

BS/MS in Computer Science, Engineering, Economics, Biology or another quantitative or scientific field

Job description

Roivant Sciences, Inc. is seeking a data analytics professional to build scalable analytical pipelines and translate data into strategic decisions. You will develop SQL and Python workflows that process commercial and real-world data, and you will present findings to senior leadership.

You'll work cross-functionally, embed with decision-makers, and contribute to near-term launches while advancing a data-driven culture with equity participation and a comprehensive benefits package.