Associate Director, Data Science

MSD • North Wales, PA

4d • $156,900 - $247,000 • Hybrid

About The Position

This role will reside within the Digital Human Health (DHH) US Market Engagement Team, operating as part of the US commercial team. This team provides strategic thought-partnership to US commercial stakeholders by understanding brand strategy and co-creating DHH demand and associated business requirements aligned with business priorities. The US Market Engagement team quarterbacks demand fulfillment and leads the activation of DHH products and services. The Associate Director will be responsible for developing and communicating data-driven and actionable insights that drive greater customer and market understanding to inform launch & go-to market strategies and help meet in-line commercial objectives. The individual in this role will be an independent contributor, supporting commercial insight and analytics needs for US marketing teams. They will have demonstrated consistently strong leadership skills, an ability to work objectively, deal well with ambiguity, and possess 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, necessitating strong communication skills. The preferred candidate will have an entrepreneurial spirit, a consultative and strategic mindset, and experience in oncology & technology (ML algorithm, AI, agentic etc.). The candidate will be accountable for creating targeting and segmentation models for the Oncology Business Unit that will be used for the allocation of promotional resources and tactics across channels, brands, and customer segments. More specifically, the AD will work with HH market leaders and provide guidance to help define omnichannel tactics and strategies to implement customer targeting and segmentation schemes using predictive and machine learning models, with a focus on automation, standardization, and Agentic AI enablement across our Company’s oncology portfolio. The selected candidate will also work closely with our central Data Science and Pune teams to implement innovative AI solutions.

Requirements

• BS (or equivalent) in Data Science, Mathematics, Economics, Computer Science, Statistics, Decision Science, Marketing, Engineering, Public Health, or equivalent scientific/ commercial discipline.
• 5+ years of relevant experience delivering complex analytical projects in the pharmaceutical, biotech, consulting, or healthcare industry.
• Self-motivated, proactive mindset, and ability to work independently.
• Story-telling and executive presence with senior leaders.
• Effective interpersonal skills, communication skills, and stakeholder management, including experience collaborating in a matrixed organization and ability to align stakeholders on data-driven decisions.
• Strong business acumen and consultative skills, with proven ability to comprehend business processes and commercial strategies in detail and translate these into detailed business standards/questions that power analytics.
• Superior Organizational and project management skills to work effectively across the organization.
• Innovative thinking with affinity toward experimentation and appropriate risk-taking, including curiosity about how agentic AI and automation can enhance commercial analytics and insight generation.
• Awareness of the opportunities, limitations, and responsible use of AI (including agentic AI) in a regulated environment (e.g., data privacy, validation of AI-generated outputs).
• Ability to develop efficient programming code and software assets that provide advanced analytical functionality.
• Proven data science experience leveraging advanced statistical methods, Machine Learning/Artificial Intelligence.
• Knowledge of both machine learning and descriptive algorithms/modeling using such languages as Python, R studio, SAS, SQL etc.

Nice To Haves

• Domain knowledge in oncology, specifically as it relates to data analytics.
• MBA, MS or PhD degree is a plus.

Responsibilities

• Analyze data across disparate databases/sources (including claims/EMR Data and other sources) to develop insights that inform commercial business strategies.
• Translate business needs and priorities to build analytical plans that answer business questions by providing actionable insights.
• Effectively communicating advanced analytics to stakeholders to inform business decisions.
• Communicate & collaborate effectively with cross functional teams with competencies in market research, forecasting, commercial analytics, data science, customer engagement, data strategy, population health, competitive insights, marketing operations, medical & clinical backgrounds.
• Stay current with industry trends and advancements in analytical methodologies to bring new ideas forward (including application of GenAI) that will enhance analytic capabilities of the organization.
• Contribute to innovative experiments, specifically to idea generation, idea incubation and/or experimentation, identifying tangible and measurable criteria to make meaningful improvements to the business processes and strategies.

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: Mid Level
• Education Level: Associate degree