Advanced Analytics Associate Director - Kidney

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

Job Description

Director of Kidney Analytics will provide advanced analytics and data science leadership for strategic commercial initiatives across the U.S. Kidney therapeutic area.

This role will use sophisticated analytical, statistical, and data science methods to identify and quantify market drivers, barriers, risks, and opportunities. The Associate Director will lead the development of scalable data products, analytical models, dashboards, and reporting solutions that enable data-driven decision-making across the Kidney business.

The ideal candidate combines deep commercial analytics expertise with strong technical and data science capabilities. They will be able to work with large, complex datasets; develop fit-for-purpose models; communicate technical findings clearly; and translate analyses into practical recommendations for senior stakeholders and cross-functional partners.

General Summary

Key Duties and Responsibilities

• Partner with Forecasting and U.S. Kidney therapeutic-area stakeholders to identify strategic business questions, performance gaps, and opportunities for advanced analytics and data science solutions.
• Define analytical requirements, recommend appropriate methodologies, and develop workplans that deliver timely, actionable insights.
• Design, develop, validate, and maintain advanced analytics and data science models to identify and quantify market drivers, barriers, opportunities, risks, and emerging trends.
• Apply statistical modeling, predictive analytics, machine learning, segmentation, classification, clustering, and other analytical techniques to address commercial business questions.
• Develop models and analytical tools to evaluate patient, healthcare-provider, payer, market access, sales, and marketing dynamics relevant to the U.S. Kidney business.
• Integrate data across internal and external sources to create scalable datasets, analytical assets, and business-ready insights.
• Lead end-to-end KPI tracking, reporting, and performance analytics at national, regional, and territory levels.
• Analyze business performance trends, identify root causes of performance changes, and provide evidence-based recommendations to support commercial decisions.
• Develop scenario analyses, opportunity assessments, and other decision-support tools to evaluate potential commercial actions and risks.
• Partner with IT, data engineering, and business stakeholders to define data requirements, improve data quality, and develop scalable reporting and analytics solutions.
• Create, enhance, and maintain Power BI dashboards, self-service reporting tools, and automated reporting processes.
• Establish clear metric definitions, data-validation practices, analytical documentation, and governance standards for recurring reporting and analytical products.
• Develop executive-ready PowerPoint presentations, dashboards, reports, and visualizations that communicate complex analyses in a clear, concise, and compelling way.
• Respond to ad hoc analytical questions by clarifying business needs, selecting appropriate data sources and methods, and delivering accurate, well-documented outputs.
• Collaborate with U.S. Marketing, Global Marketing, U.S. Market Access, U.S. Finance, Commercial Sales Operations, IT, market research, and other analytical teams to develop an integrated understanding of Kidney business performance.
• Communicate technical approaches, model outputs, assumptions, limitations, and business implications effectively to technical and non-technical audiences, including senior leadership.
• Stay current on evolving data science, analytical, visualization, and commercial data capabilities and identify practical opportunities to improve analytical impact.

Knowledge and Skills

• Advanced Microsoft Excel modeling and data analysis.
• SQL for data querying, transformation, and analysis.
• Python for data manipulation, statistical analysis, predictive modeling, machine learning, and automation.
• SAS and/or other statistical programming languages.
• VBA.
• Power BI dashboard design, development, data modeling, and maintenance.
• Advanced statistical analysis, including regression, hypothesis testing, time-series analysis, and multivariate analysis.
• Predictive analytics and machine-learning techniques, such as classification, clustering, segmentation, and model validation.
• Data wrangling, data integration, feature engineering, and data-quality assessment.
• Data visualization and executive-level analytical storytelling.
• Analysis of large, complex pharmaceutical commercial and healthcare data sets.
• Experience using pharmaceutical data sources, including:IQVIA or comparable third-party data-vendor dataPatient claims and longitudinal patient dataPrescription, distribution, and sales dataInternal sales, marketing, and CRM/field-call data
• Microsoft PowerPoint for executive-ready reporting and communication.

Preferred Skills

• Experience supporting kidney disease, nephrology, rare disease, or specialty-care commercial businesses.
• Experience developing commercial data science solutions in the pharmaceutical or biotechnology industry.
• Experience with cloud-based data platforms, data warehouses, or analytical environments.
• Familiarity with data engineering concepts, including ETL/ELT processes, data pipelines, data models, and automation.
• Experience with real-world data, patient journey analysis, treatment pathway analysis, provider segmentation, and market access analytics.
• Experience supporting product launch, pre-launch planning, in-line commercial strategy, market sizing, or opportunity assessment.
• Familiarity with commercial sales operations, market access analytics, marketing analytics, and financial planning.
• Experience establishing scalable reporting, data products, and analytical processes in an evolving therapeutic area.
• Ability to balance analytical rigor, model interpretability, and practical business application.

Education and Experience

• Master’s degree in Data Science, Statistics, Biostatistics, Economics, Engineering, Computer Science, Finance, Science, or another quantitative discipline; equivalent relevant experience may be considered.
• 7–10 years of experience in biotechnology or pharmaceuticals in a quantitative role within Commercial, Analytics, Data Science, Finance, Corporate Strategy, or Business Development; or at least 4 years of relevant post-MBA or PhD experience in management, strategic, economic, analytics, or data science consulting with meaningful biotechnology/pharmaceutical decision-support experience.
• Demonstrated experience developing and applying advanced analytics, statistical models, predictive models, or machine-learning approaches to complex commercial business questions.
• Experience working with large, complex, and disparate healthcare, patient, commercial, sales, and marketing datasets.
• Experience translating data science and analytical outputs into clear business insights, recommendations, and executive-level communications.
• Experience building and maintaining KPI reporting, dashboards, performance analytics, and self-service business intelligence tools.
• Strong knowledge of data quality, validation, documentation, metric definition, and analytical governance practices.
• Proven ability to structure ambiguous problems, identify appropriate analytical methodologies, and synthesize findings from multiple data sources.
• Experience partnering with senior leadership and cross-functional stakeholders in a matrixed biotechnology or pharmaceutical environment.
• High degree of accuracy, attention to detail, intellectual curiosity, and accountability in the development of analyses and deliverables.
• Ability to independently manage multiple priorities while building strong, collaborative relationships with colleagues and partners.

At Vertex, we embrace continuous learning and encourage employees to stay informed on advances in AI, technology, automation, and industry trends. We seek talent who bring an external perspective, demonstrate curiosity and sound judgment, and thoughtfully adopt new capabilities that improve decision-making, drive innovation, increase efficiency, and help deliver better outcomes for patients.

Pay Range

$157,800 - $236,600

Disclosure Statement

The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.

At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.

Flex Designation

Hybrid-Eligible Or On-Site Eligible

Flex Eligibility Status

In this Hybrid-Eligible role, you can choose to be designated as:
1. Hybrid : work remotely up to two days per week; or select
2. On-Site : work five days per week on-site with ad hoc flexibility.

Company Information

Vertex is a global biotechnology company that invests in scientific innovation.

Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person’s race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.

Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at [e-mail]