Associate Director, Data Science, Oncology - Sleepy Hollow, NY, United States - Regeneron Pharmaceuticals, Inc

Description

The Associate Director, Data Science will support the Oncology Business Unit by leading the measurement of impact and effectiveness of commercial initiatives.

This includes the design and implementation of optimization and forward-looking simulation scenarios, identification and assessment of opportunities using claims and other longitudinal datasets, and the oversight of predictive analytics, statistical modeling techniques and related analytic capabilities (e.g., Marketing Mix Analysis).

The Associate Director, Data Science will work with cross-functional business partners to pull through key insights and guide stakeholders and senior management to develop brand/portfolio/Business Unit strategies and tactics.

In addition to strong analytics skills, the Associate Director, Data Science, Oncology should have excellent communication skills, a demonstrated track record of effective business partnership, business impact and influence.

The ideal candidate should be able to simplify complex analytical concepts and possess strong data storytelling competencies.

This role is hands on and does not have any direct reports, but will manage contractors, consultants and vendors to complete projects.

Managing budget, while guiding analytic investments towards projects of higher value/ROI.

• Assessing impact and effectiveness of commercial initiatives and delivering investment recommendations to drive business unit efficiency, effectiveness and accountability
• Leading marketing mix and attribution work streams for Oncology, and collaborating with business partners to apply and pull through key insights. Managing promotion response models, and developing optimization and forward-looking simulation scenarios. Collaborating with business partners on how and why commercial initiatives can be further optimized and develop next best action models.
• Developing and implementing capabilities such as dynamic targeting, market structures, network analytics, etc.

Managing and overseeing rules and logic on relevant data sources, choice of modeling approaches, development of implications and recommendations in vendor approaches and deliverables.

• Generating insights from structured (including patient claims) and unstructured data and collaborating with stakeholders to take the appropriate actions.
• Informing data strategy and acquisition; decommissioning data sources that provide lesser value.
• Collaborating with internal teams including, Insights & Analytics, Data Strategy Management, Incentives & Alignment, Commercial Strategy, Commercial Operations, Finance, Marketing, Sales, etc.
• Complying with regulatory, security, and privacy requirements as it relates to data assets.

To be considered for this opportunity you must have a Master's degree completed by start date and 6+ years of business analytics, statistics, data mining, applied mathematics, engineering, computer science or related field experience

OR a Bachelor's degree and 10+ years of business analytics, statistics, data mining, applied mathematics, engineering, computer science or related field experience.

8+ years' progressive, related industry experience with a minimum 5 years analytical experience in pharmaceutical or biotechnology industries.

Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations.

We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application process. The salary ranges provided are shown in accordance with U.