Associate Director, Business Insights and Analytics- Data Science

MSD • North Wales, PA

2d • $156,900 - $247,000 • Hybrid

About The Position

The Associate Director will partner with the Digital Human Health (DHH) area to use and apply data to produce actionable insights that drive greater customer and market comprehension to inform launch strategies, help meet in-line brand growth objectives, and achieve improved customer engagement. They are an integral part in helping to facilitate the creation of actionable commercial use-cases that create ‘data-driven’ decisions, that leverage knowledge across the organization and are more relevant to the customer. The preferred candidate will have an entrepreneurial spirit, comprehension of healthcare & technology, a demonstrated record of producing actionable insights from analytics. The candidate will need to comprehend the nuances of different product lines and are well versed in the Life Science commercial space. They will have demonstrated consistently strong leadership skills, an ability to work objectively and deal well with ambiguity and strong partnership skills. They will empower a growth mindset and inspire a culture of continual learning. This role will require interfacing and collaborating with many teams requiring strong communication skills. Colleagues who will thrive in this role are motivated by developing a deep appreciation of pharma secondary data sources and possess an ability to define and translate objectives and business questions into analytical problems that require advanced and scalable solutions that produce actionable insights.

Requirements

• BS (or equivalent) in Data Science, Mathematics, Economics, Computer Science, Statistics, Decision Science, Marketing, Engineering, or Public Health is required.
• 3+ years of relevant experience delivering complex analytical projects in the pharmaceutical/biotech/healthcare industry
• Knowledge in mining patient medical claims/EMR data with a strategic mindset and proven record of being able to produce actionable business insights that drive positive commercial results.
• Knowledge in developing both machine learning and descriptive algorithms/modeling using such languages as Python, R studio, SAS, SQL etc.
• Knowledge in development of AI/GenAI models, data pipelines as well as agent development and orchestration
• Self-motived, proactive mindset, and ability to work independently
• Effective interpersonal and communication skills
• Strong business acumen, with proven ability to comprehend business processes and commercial strategies in detail and translate these into detailed business standards/questions that power analytics.
• Effective stakeholder management and communication skills, along with the ability to convey appropriately and confidently with colleagues from different backgrounds and seniority levels
• Effective organizational and project management skills to work effectively across organization and manage capability of team of data scientists efficiently and effectively

Nice To Haves

• MBA, MS or PhD degree is preferred.
• Proven data science leveraging advanced statistical methods, Machine Learning/Artificial Intelligence, Natural Language Processing (NLP) modeling and model evaluation is a plus.
• Prior hands-on experience working with healthcare data especially in EMR/EHR, Claims Data and various IQVIA /KOMODO data offerings

Responsibilities

• Lead a team of business analysts, providing guidance on best practices in data analytics, data visualization and storytelling with data.
• Engage with BU leaders across the US commercial and DHH organization to prioritize and enhance customer engagement solutions, ultimately delivering on business performance.
• Serve as a subject matter expert in predictive models & prescriptive analytics, and GenAI/AI models, as well as agentic frameworks and as trusted advisor to inform commercial customer engagement decisions.
• Drive the implementation of new analytics and AI methodologies to optimize resource management decisions for the brand and in support of the larger portfolio.
• Translate complex business needs and priorities into analytical plans, providing actionable insights and effectively communicating advanced analytics to inform business decisions.
• Work closely with DHH colleagues (i.e., data visualization, data solutions) and Marketing stakeholders to deliver best-in-class solutions and data-driven insights.
• Manage analytics and digital solutions projects to deliver actionable and meaningful insights to marketing stakeholders in a timely manner.
• Stay current with industry trends and advancements in analytical methodologies to enhance organizational analytic capabilities.
• Contribute to innovative experimentations, focusing on idea generation, incubation, and using tangible, measurable criteria to make incremental meaningful improvements to the business processes and strategies using data.

Benefits

• medical, dental, vision healthcare and other insurance benefits (for employee and family)
• retirement benefits, including 401(k)
• paid holidays
• vacation
• compassionate and sick days
• annual bonus
• long-term incentive

What This Job Offers

• Job Type: Full-time
• Career Level: Manager