Director, Commercial Data Science - Nephrology (Hybrid)

Job Summary 

The Director of Commercial Data Science, Nephrology, will play a pivotal role in driving data-driven decision making to enhance market positioning, go to market strategy and brand performance.  The Director will work closely with cross-functional teams, including Marketing, Sales, Commercial Operations and Market Access, to ensure that analytical insights translate into actionable business strategies. Exceptional project management, communication skills and ability to deliver high quality insights in a matrixed environment managing multiple stakeholders is key. 

Job Description 

We are seeking a Director of Commercial Data Science responsible for delivering data-driven insights to support our growing nephrology franchise.  This role involves leading the execution and interpretation of data, analytics and models supporting end to end brand strategy. 

This role is dynamic, fast paced and requires strategic leadership and analytics execution including: 

• Drive advanced analytics to support the go to market strategy, brand performance and market penetration. 
• Provide insights on patient, physician, and payer behavior using claims data, electronic health records (EHR), internal sales and execution data, among others.
• Utilize advanced data modeling and predictive analytics to assess brand health and inform strategic decision-making. 
• Work closely with Marketing, Sales, Commercial Operations and Market Access teams to integrate data-driven insights into business strategies. 
• Manage vendor relationships and external data sources to ensure access to high-quality market insights. 
• Responsibly procure data and related analytic tools in support of advanced analytic initiatives  

Qualifications/ Required 

Knowledge/ Experience and Skills: 

• 10+ years of experience in pharmaceutical brand analytics, commercial analytics, or a related field.  Commercial biotech or pharmaceutical experience is required.
• Experience in statistical modeling, forecasting, and data visualization tools (e.g., SQL, R, SAS, Python, Tableau, Power BI).
• Extensive experience using data science models to solve problems in a business environment setting.
• Experience with pharmaceutical data sources such as IQVIA, Komodo, Symphony Claims, and other syndicated resources; strong understanding of Patient/Claims data preferred.
• Proven track record of leading vendor teams within the pharmaceutical or biotech industry.
• Strong oral and written communication skills.
• Project and budget management experience.

Strongly desired:

•  Experience in nephrology, rare disease, oncology or specialty pharmacy distribution.

Educational Qualifications 

• Bachelor’s degree in business, Statistics, Economics, Life Sciences, Computer Science or a related field (Master’s or Ph.D. preferred). 

Competencies
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