Associate Director, Data Science and AI, US Commercial

Biogen•Cambridge, MA

About The Position

Associate Director, Data Science and AI, US Commercial About This Role We are currently building our new Data Sciences team and are seeking to fill multiple Associate Director, Data Science & AI, US Commercial roles. The Associate Director, Data Science & AI, US Commercial (internally known as Biogen North America) is driving the development of advanced modeling solutions that inform strategic business decisions across Marketing, Medical, Sales, and Access. This role will be responsible for leading high-impact data science initiatives including marketing optimization, patient-level predictive analytics, machine learning-based personalization, and field force effectiveness strategies. As a hands-on contributor, you will guide and execute while collaborating with cross-functional teams to ensure that data science outputs are actionable, accurate, scalable, and aligned with brand priorities. You’ll be a thought partner to commercial leadership, championing the use of data and AI to deliver measurable business value. What You’ll Do Execute flawlessly the long-term data science and AI vision, ensuring alignment with enterprise capability roadmaps, commercial priorities, and emerging AI/ML trends. Lead the end-to-end development, deployment, and scaling of data science solutions, including predictive models, clustering, segmentation, optimization, and advanced natural language processing (NLP) and large language models (LLMs), to address complex commercial challenges and extract insights from unstructured data. Expertise in working with IT on the design of ML Ops and Dev Ops and building data science and AI as products Act as a trusted partner to the insights and marketing teams, demonstrating rigor and knowledge in data science algorithms, while displaying agile ways of working, accountability and value. Being open to feedback from adopters on the quality of outputs and building corrective model fine tuning and performance continuously Serve as the primary data science partner for U.S. commercial brand teams, translating business objectives into analytical frameworks that drive measurable impact across marketing, sales, and access strategies. Guide business stakeholders through insight interpretation and activation, ensuring outputs are integrated into workflows and decision-making processes. Provide technical expertise and thought leadership on the development of analytical tools, reusable frameworks, proprietary data products, and service lines-contributing directly where needed. Promote analytical rigor, responsible experimentation, and model governance best practices, serving as a champion of quality and innovation across the analytics organization. Collaborate with a high-performing team of data scientists, that encourages learning and experimentation. Collaborate with IT to develop and co-create the ML Ops environments and deliver productized solutions Design and operationalize Next Best Action (NBA) strategies using machine learning to optimize field force effectiveness, drive personalized omnichannel engagement, and increase HCP engagement ROI. Develop and scale Patient 360 models and predictive targeting algorithms to support AI-driven lead generation, enable high-value patient outreach, and enhance commercial performance across key therapeutic areas. Guide measurement and ROI optimization efforts through marketing/media mix modeling and budget allocation using data from APLD, PlanTrak, claims, and specialty pharmacy sources. Manage relationships with external analytics partners, ensuring alignment with internal data engineering, insights, IT, and compliance teams for scalable, secure solution delivery. Who You Are You are a data scientist with strong methodology expertise, business instincts, a leadership presence, and a passion for solving ambiguous problems. You thrive at the intersection of data science and action-building machine learning pipelines that scale and deliver insights that drive strategic decisions. You’re not only a functional expert but also an experienced team leader who enjoys guiding others with ideas, mentoring talent, and fostering collaborative problem solving. You are a functional expert and credible in the different aspects of data science, AI and Gen AI. Understanding of responsible AI principles and standards.

Requirements

7+ years of hands-on analytics or data science experience, including at least 4+ years leading data science Product build and / or teams / programs
Strong command of statistical modeling supervised and unsupervised learning, A/B testing, and time-series forecasting.
Strong experience in marketing mix, portfolio optimization, decision engine build and Gen AI product design
Experience deploying data science solutions in a commercial setting-ideally within pharma, biotech, or healthcare.
Proficient in Python, R, SQL, and Snowflake; experience with Power BI, Tableau, or other data visualization tools.
Proven track record of designing and implementing Next Best Action strategies, marketing optimization models, and omnichannel analytics.
Experience working with APLD, PlanTrak, specialty pharmacy, or claims datasets.
Strong communication and influencing skills; comfortable presenting to senior stakeholders and cross-functional teams.

Nice To Haves

Master’s degree in data science, Statistics, Engineering, Computer Science, Business Analytics, or related field.

Responsibilities

Execute flawlessly the long-term data science and AI vision, ensuring alignment with enterprise capability roadmaps, commercial priorities, and emerging AI/ML trends.
Lead the end-to-end development, deployment, and scaling of data science solutions, including predictive models, clustering, segmentation, optimization, and advanced natural language processing (NLP) and large language models (LLMs), to address complex commercial challenges and extract insights from unstructured data.
Expertise in working with IT on the design of ML Ops and Dev Ops and building data science and AI as products
Act as a trusted partner to the insights and marketing teams, demonstrating rigor and knowledge in data science algorithms, while displaying agile ways of working, accountability and value. Being open to feedback from adopters on the quality of outputs and building corrective model fine tuning and performance continuously
Serve as the primary data science partner for U.S. commercial brand teams, translating business objectives into analytical frameworks that drive measurable impact across marketing, sales, and access strategies.
Guide business stakeholders through insight interpretation and activation, ensuring outputs are integrated into workflows and decision-making processes.
Provide technical expertise and thought leadership on the development of analytical tools, reusable frameworks, proprietary data products, and service lines-contributing directly where needed.
Promote analytical rigor, responsible experimentation, and model governance best practices, serving as a champion of quality and innovation across the analytics organization.
Collaborate with a high-performing team of data scientists, that encourages learning and experimentation.
Collaborate with IT to develop and co-create the ML Ops environments and deliver productized solutions
Design and operationalize Next Best Action (NBA) strategies using machine learning to optimize field force effectiveness, drive personalized omnichannel engagement, and increase HCP engagement ROI.
Develop and scale Patient 360 models and predictive targeting algorithms to support AI-driven lead generation, enable high-value patient outreach, and enhance commercial performance across key therapeutic areas.
Guide measurement and ROI optimization efforts through marketing/media mix modeling and budget allocation using data from APLD, PlanTrak, claims, and specialty pharmacy sources.
Manage relationships with external analytics partners, ensuring alignment with internal data engineering, insights, IT, and compliance teams for scalable, secure solution delivery.

Benefits

Medical, Dental, Vision, & Life insurances
Fitness & Wellness programs including a fitness reimbursement
Short- and Long-Term Disability insurance
A minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec 26-Dec 31)
Up to 12 company paid holidays + 3 paid days off for Personal Significance
80 hours of sick time per calendar year
Paid Maternity and Parental Leave benefit
401(k) program participation with company matched contributions
Employee stock purchase plan
Tuition reimbursement of up to $10,000 per calendar year
Employee Resource Groups participation