Senior Kidney Analytics Lead

Vertex Inc.; Boston (MA); Hybrid; USD 158,000 - 237,000; Full time

Job summary

Vertex Inc. seeks a Director of Kidney Analytics to lead advanced analytics and data science for U.S. Kidney therapeutic initiatives. You will develop scalable data products, dashboards, and reporting solutions that enable data-driven decisions across the Kidney business.

The ideal candidate blends commercial analytics expertise with strong technical skills to work with large datasets, build fit-for-purpose models, and present findings to senior stakeholders and cross-functional partners.

Qualifications

• Master’s degree in a quantitative discipline.
• 7–10 years in biotechnology or pharmaceuticals analytics.
• Experience with advanced analytics, statistical models, or ML for business insights.
• Ability to translate data science outputs into actionable business recommendations.
• Experience building KPI reporting, dashboards, and self-service BI.

Responsibilities

• Partner with stakeholders to identify strategic analytics questions and opportunities.
• Define analytical requirements and develop workplans for timely insights.
• Design, validate, and maintain analytics models and dashboards.
• Apply statistical and ML methods to address commercial questions.
• Develop KPI tracking and reporting at national, regional, and territory levels.
• Collaborate with IT and data teams to ensure data quality and scalable reporting.

Skills

Advanced Excel modeling

SQL

Python

SAS

Power BI

Data visualization

Machine learning

Statistical analysis

Data wrangling

Executive storytelling

Education

Master’s degree in Data Science or quantitative field

Tools

IQVIA data sources

PowerPoint

Job description

Vertex Inc. seeks a Director of Kidney Analytics to lead advanced analytics and data science for U.S. Kidney therapeutic initiatives. You will develop scalable data products, dashboards, and reporting solutions that enable data-driven decisions across the Kidney business.

The ideal candidate blends commercial analytics expertise with strong technical skills to work with large datasets, build fit-for-purpose models, and present findings to senior stakeholders and cross-functional partners.