Associate Director, Advanced Analytics – Respiratory and CRS

Job title: Associate Director, Advanced Analytics – Respiratory and CRS

Location: Cambridge, MA

About the Job

The Associate Director of Advanced Analytics – US Respiratory/CRS will be responsible for predictive analytics, including use of AI/ML models, to assess and improve promotional effectiveness. This individual will be an integral partner to the US Dupixent RESP & CRS brand and commercial teams, helping to answer the “why” questions via drivers analyses to augment the “what” questions on brand performance. All in all, they will be responsible for the development & application of cutting-edge analytical capabilities to achieve the full potential of the US RESP & CRS portfolios.

This position will report to the Director, Advanced Analytics – Dermatology / Respiratory / GI and will be based in Cambridge, MA.

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

Main Responsibilities:

Cross-Functional Partnership

• Partner and work closely with Senior Leadership, Brand and Functional heads to understand their business priorities and questions, providing strategic guidance and ad-hoc support as the Advanced Analytics subject matter expert.

• Work with Brand Analytics colleagues to support & enhance internal data management / analysis platforms to facilitate collaboration, harmonize key deliverables, and drive analytics best practices within the larger Commercial Strategy & Insights team.

• Coordinate with data management to ensure insights are based on reliable, high-quality information.

Hands-On Insights Generation

• Clean, aggregate, and organize data from disparate sources for use in modeling projects

• Apply data science techniques, such as machine learning, statistical modeling, and artificial intelligence to generate predictive insights – tactical and strategic insights to improve marketing effectiveness.

• Create dashboards to synthesize information and enable business decisions.

AI Project Leadership

• Lead predictive modeling projects (e.g., patient identification, next-best-action, patient journey modeling) with internal and external data science and data engineering partners

• Provide overarching project direction, including subject matter expertise on data, modeling methodology, outputs, and applications

• Liaise with business stakeholders to socialize project outputs, facilitate pull-through

About You

BASIC QUALIFICATIONS:

• Bachelor’s degree in Business, Finance, Engineering, Mathematics, Computer Science, Data Science, or related discipline

• Minimum of 7 years of Pharmaceutical, Commercial Analytics/Forecasting, Sales Operations, or Consulting experience

• Advanced analytical skills with proficiency in a broad range of programming languages (e.g., SQL, SAS, Python, R, VBA)

• Experience using analytical platforms (e.g. Databricks, Snowpark, Jupyter Notebook, SAS Studio, SQL developers)

• Experience with pharmaceutical data sources (e.g., IQVIA, Symphony, Komodo, Capgemini, SP)

• Hands-on experience with predictive modeling and common ML applications (e.g., classification modeling, clustering/segmentation, marketing mix, and driver analyses)

• Familiarity with data visualization and business intelligence tools (e.g. Qlik Sense, Tableau)

• Advanced knowledge of MS Office (Excel, PowerPoint, Word)

• Strong strategic awareness and business acumen

• Strong proven leadership, communication, and executive presentation skills

• Demonstrated ability to work in a matrixed environment with many cross-functional partners

• Self-starter, proactive in nature, and actively participates

• Ability to understand and influence decisions

PREFERRED QUALIFICATIONS:

• Master’s Degree or MBA preferred

• Certification in Data Science or Artificial Intelligence / Machine Learning

• Experience in Immunology or Specialty Care

• Experience working with CRM data systems (e.g. Veeva, Salesforce)

Why Choose Us?

• Bring the miracles of science to life alongside a supportive, future-focu