Advanced Analytics Associate Director - Pain

General Summary: 

Vertex is seeking to hire an Associate Director, Pain Advanced Analytics to join the US Forecasting, Analytics & Insights team in the Commercial organization. This role will partner closely with the Omnichannel and Media analytics leads to build and operationalize advanced statistical modeling capabilities to support the sales and marketing teams for the ongoing pain launch and any future launches in pain across North America. 

The ideal candidate must be a skilled and experienced individual contributor, with a demonstrated ability to measure promotional effectiveness across all sales & marketing channels with the goal of delivering actionable recommendations to sales & marketing business leaders. This role is responsible for developing and executing marketing mix models, omnichannel sequencing and customer journey analyses, building promotional response curves and leveraging other advanced analytical frameworks in partnership with the pain analytics team.   

This candidate must possess a high degree of attention to detail and accuracy in creating deliverables and must be self-directed in engaging with colleagues. Additionally, this candidate must be able to strategize, collaborate, and manage relationships with our many cross-functional analytics partners. 

Key Duties and Responsibilities: 

• Analyze omnichannel promotional activity to quantify impact and optimize brand performance in advancing HCPs along the adoption continuum; inclusive of all personal (field, sampling, conference, speaker programs) and non-personal (web, email, search, digital media) 

• Own operational execution and maintenance of marketing mix models, including model specs, parameter estimation, validation diagnostics and scenario simulations required to support investment optimizations 

• Lead the technical development and validation of promotional response curves for each field and virtual sales team- informing commercial operations workstreams like targeting and call planning 

• Design and support incrementality analyses including test & control, geo experiments and matched cohorts to quantify incremental business impact of promotional tactics 

• Partner with data technology and engineering teams to develop and maintain modeling-ready datasets, ensuring omnichannel performance data is consistently ingested, transformed, aligned and made analytics ready 

• Analyze sequencing of promotion at the channel and content-level to feed insights to marketing & next best action program leads to drive towards n = 1 HCP promotion 

• Analyze direct-to-consumer marketing data to develop recommendations for optimizing deployment of patient marketing budget 

• Integrate managed care insights & data to further optimize promotional effort for demand, HCP access experience, and gross-to-net impact 

• Work within the broader A&I team to coordinate / integrate findings into bottom-up demand forecast models and other future impact assessments 

• Contribute to the advancement of promotional effectiveness measurement & optimization capabilities at Vertex 

Knowledge and Skills: 

• Proficiency with complex modeling and analyzing and developing insights from large data sets, leveraging relevant tools such as SQL, python, R, etc.  

• Proficiency working with wide array of commercial pharma data sets, including data sets such as IQVIA (or equivalent from different data vendor) XPONENT PlanTrak, DDD, LAAD (patient claims data), and internally generated sales / marketing data (e.g. field call data from CRM, omnichannel marketing data, direct-to-consumer marketing data) 

• Experience developing marketing mix and promotional response models 

• Strong analytical and business acumen: intellectual curiosity, motivation and ability to structure problems, diagnose issues and triangulate with multiple approaches while keeping sight of the “big picture” 

• Ability to quickly and thoughtfully adapt to new and evolving business and planning needs 

Education and Experience: 

• Bachelor’s degree in quantitative discipline required (e.g., Engineering, Statistics, Economics, Finance, Business Analytics) or equivalent experience 

• 7-10 years of experience in the pharmaceutical or biotech industry, 6+ years of omnichannel analytics, data science, brand analytics, and/or field analytics is required.