Associate Director - Predictive Science & AI US Commercial

Biogen•Cambridge, MA

74d

About The Position

As the Associate Director of Data Science & AI, you will spearhead the development and implementation of cutting-edge machine learning and AI solutions that drive data-driven decision-making across our U.S. Commercial organization. Collaborating closely with teams from Insights & Analytics, Enterprise Data Management, Information Technology, and Medical Affairs, you will create predictive models and analytical tools that provide actionable insights into patient populations and healthcare provider behaviors. With a strong background in biotech commercial operations and expertise in AI, you will deliver timely and innovative solutions that inform strategic decisions and accelerate commercial growth. Your leadership will be crucial in shaping the future of our data science initiatives and enhancing our impact on the healthcare industry.

Requirements

Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field.
8+ years of experience in data science, advanced analytics, or AI.
5+ years of experience supporting U.S. Commercial organizations within the pharmaceutical/biotechnology industry.
3+ years leading technical teams or large cross-functional initiatives.
Strong programming skills in Python and SQL.
Experience with Databricks, Snowflake, and Power BI.
Expertise in machine learning, statistical modeling, predictive analytics, and optimization techniques.
Knowledge of commercial pharmaceutical data sources such as IQVIA, Symphony Health, Veeva, Komodo, or claims and EHR datasets.
Excellent communication and stakeholder management skills.

Nice To Haves

Familiarity with cloud-based data platforms and tools.
Experience in managing cross-functional projects in a matrixed organization.
Proven track record of driving business results through data-driven strategies.

Responsibilities

Lead the design, development, validation, and deployment of machine learning and predictive analytics solutions for the U.S. Commercial function.
Identify opportunities to leverage AI and advanced analytics to gain insights into patient populations, healthcare provider behavior, and commercial opportunities.
Establish and follow best practices for model development, monitoring, governance, and continuous improvement.
Develop advanced analytics and AI solutions to generate actionable insights into patient and provider behavior and treatment patterns.
Create predictive models supporting patient identification, treatment initiation, adherence, and provider engagement strategies.
Integrate and analyze claims, EHR, and commercial data to improve patient access and commercial effectiveness.
Partner with Commercial, Medical Affairs, and Insights & Analytics teams to translate insights into evidence-based business strategies.
Communicate complex analytical findings clearly to executive leadership and cross-functional teams.
Lead and mentor data scientists and analytics professionals, fostering a culture of innovation and continuous learning.
Manage external vendors and consulting partners as needed.
Operate effectively in a fast-paced, cross-functional environment, managing multiple initiatives with high-quality execution.

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