Director, Data Science & AI

Biogen•Cambridge, MA

3d•$196,000 - $270,000

About The Position

We are seeking a Director of Advanced Analytics, Data Science & AI responsible for generating and delivering data-driven insights to support a brand, therapeutic area, or cross-brand/enterprise and contribute to the development and enhancement of innovative capabilities. This role involves influencing business partners, leading the execution and interpretation of AI/ML models, framing problems, and crafting solutions, all while clearly and compellingly communicating data-driven insights. This position is dynamic, fast-paced, highly collaborative, and covers a broad range of strategic topics that are critical to our business. You will be at the forefront of advancing our data science capabilities, nurturing a culture of innovation, and elevating the impact of analytics across the organization. With a passion for data-driven problem solving and a strong background in data science and AI, you will lead and develop high-performing teams to drive strategic business decisions.

Requirements

A minimum of 10 years of experience in advanced analytics in US commercial settings, previous experience in a biotech/pharmaceutical organization, or in leading global management consulting firm.
Minimum of bachelor's degree, preferably in engineering, economics, statistics, computer science, or related quantitative field.
Extensive expertise and experience with both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and/or working in Snowflake/Databricks.

Responsibilities

Provide an enterprise view of insights across Product/Brand and Therapeutic Areas (TA) on key topics like Resource Allocation, Measurement & attribution of market mix, channel optimization, digital analytics, predictive models, decision engine/next best action.
Lead the development and implementation of data-driven solutions using advanced analytics and machine learning techniques, predictive algorithms, and AI-powered tools.
Create vision that enables the productization and automation of internally built Data science and AI solutions.
Manage and mentor a team of data scientists (internal and external) and AI experts to drive innovation and deliver high-quality results.
Influence end-to-end delivery of data science insights, from framing the business question, designing the solution, and delivering recommendations.
Break down technical concepts into digestible insights and guide diverse stakeholders on how to interpret them.
Collaborate within the insights & analytics team and coordinate efforts with the Insights & Analytics counterparts to develop and execute a comprehensive brand analytics plan.
Deliver consolidated insights and actionable recommendations to US Commercial teams, ensuring alignment with strategic objectives and insights findings.
Work closely with cross-functional teams to ensure seamless integration of brand analytics insights into decision-making processes and strategic initiatives.
Define and track key performance indicators to measure the success and impact of data-driven solutions.
Continuously evaluate and enhance existing brand/TA data science capabilities, identifying opportunities for optimization and innovation.
Stay up to date with the latest advancements in data science and AI and apply them to improve processes and outcomes.
Build university partnerships for driving innovation and leading-edge research techniques.
Build strong relationships with key stakeholders across the enterprise, effectively communicating the value proposition of data science and fostering a culture of data-driven decision-making.
Ensure compliance with data privacy and security regulations and maintain a high level of data integrity.
Develop and manage budgets, resource allocation, and timelines for data science and AI projects.

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