Biogen's Data Science team needs to develop advanced modeling solutions to inform strategic business decisions across Marketing, Sales, and Access, focusing on areas like marketing optimization, patient-level predictive analytics, machine learning-based personalization, and field force effectiveness strategies.
Requirements
- Strong command of statistical modeling supervised and unsupervised learning, A/B testing, and time-series forecasting.
- 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.
- Master’s degree in data science, Statistics, Engineering, Computer Science, Business Analytics, or related field.
Responsibilities
- Define and evolve the long-term data science 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.
- 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.
- 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.
Other
- 7+ years of hands-on analytics or data science experience, including at least 4+ years leading data science projects or teams.
- Strong communication and influencing skills; comfortable presenting to senior stakeholders and cross-functional teams.
- You are a data scientist with strong business instincts, a leadership presence, and a passion for solving ambiguous problems.
- You’re not only a strong individual contributor but also an experienced team leader who enjoys guiding others with ideas, mentoring talent, and fostering collaborative problem solving.
- Manage relationships with external analytics partners, ensuring alignment with internal data engineering, insights, IT, and compliance teams for scalable, secure solution delivery.
