Advanced Analytics Associate Director Kidney

Job Description

General Summary:

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.

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:

• Masters degree in Data Science Statistics Biostatistics Economics Engineering Computer Science Finance Science or another quantitative discipline; equivalent relevant experience may be considered.
• 710 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:

Disclosure Statement:

Flex Designation:

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.

Note: The Flex status for this position is subject to Vertexs Policy on Flex @ Vertex Program and may be changed at any time.

#LI-Hybrid

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 persons 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