Associate Director, Data Science

Job Title: Associate Director Data Science – US Market Engagement, US Oncology, Digital Human Health Job Description: This role will reside within the Digital Human Health (DHH) US Market Engagement Team. This team operates as part of the US commercial team, providing strategic thought-partnership to US commercial stakeholders through understanding brand strategy, co-creating DHH demand and associated business requirements aligned to 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. The person 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. The preferred candidate will have an entrepreneurial spirit, consultative and strategic mindset, 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. ========================= Key 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.

Requirements: BS (or equivalent) in Data Science, Mathematics, Economics, Computer Science, Statistics, Decision Science, Marketing, Engineering, Public Health, or equivalent scientific/ commercial discipline. Required Experience and Skills: 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