Decision Analytics Sr. Manager

Biogen•Cambridge, MA

24d

About The Position

In the role of Decision Analytics Senior Manager, you will be a pivotal leader within Biogen's Decision and Quality Analytics Innovation (DQAI) group, which is part of our Development department. As a member of the DQAI team, your primary mission is to drive smarter decisions and measurable impact across our research, development, and medical initiatives. This position requires a blend of strategic acumen and technical proficiency, enabling you to translate complex data into narratives that drive both operational and strategic outcomes. You will oversee strategic direction-setting for decision analytics frameworks, AI/ML-enabled innovations, and enterprise-wide program modeling practices. By partnering with cross-functional R&D teams and external collaborators, you'll play a critical role in shaping enterprise decision science maturity and advancing our analytic capabilities. You are a strategic decision analytics leader who brings together deep quantitative expertise and a strong understanding of the drug development landscape. You excel at transforming complex modeling, scenario analysis, and AI/ML-driven insights into clear narratives that guide operational and strategic decisions across R&D. You thrive in environments where innovation, rigor, and cross-functional alignment are essential, and you naturally build trusted partnerships with scientific, clinical, financial, and technical stakeholders. You are both a builder and a connector—advancing enterprise modeling standards, shaping governance-ready decision frameworks, and mentoring others to grow the organization’s analytics capability. Your blend of technical proficiency, strategic mindset, and communication strength positions you as a key driver of Biogen’s decision science maturity.

Requirements

MS in Data Science, Computer Science, Information Systems, or a related field; advanced degree strongly preferred.
A minimum of 7 years experience in data science, analytics, or a comparable domain within pharmaceutical R&D or portfolio analytics.
Expertise in decision analytics, Monte Carlo simulations, pTRS forecasting and quantitative scenario modeling methods.
High-level proficiency in programming tools (Python/R) and portfolio simulation techniques.
Proven ability to align cross-functional teams and influence governance decisions.
Strong problem-solving, critical thinking, and executive-level communication skills.
Strong communication skills with the ability to translate mathematically rigorous insights into clear recommendations for non-technical
Familiarity with the drug development process and basic accounting or finance, such as P&Ls and cash flows.
Recognized for independent problem solving, innovative thinking, and the ability to integrate best practices with hands-on execution in a fast-paced, highly regulated environment.

Responsibilities

Lead end-to-end program modeling efforts for multiple high-impact programs, focusing on assumptions gathering, trade-offs, and ROI analyses.
Perform scenario planning and “what-if” simulations to understand potential program and portfolio impacts.
Perform sensitivity analyses and apply strategic-coverage frameworks to unify modeling assumptions across programs, improving governance-ready program narratives and insights.
Utilize financial data (e.g. discounted cash flow) to evaluate the potential return on drug development projects.
Institutionalize modeling standards and drive the adoption of strategic-alternatives methodologies and enhance governance decision frameworks.
Oversee the product roadmap for internal analytics tools, ensuring alignment and scalability.
Collaborate with IT and data engineering to maintain the R&D analytics infrastructure.
Architect and integrate advanced AI/ML methodologies into the Decision Science lifecycle.
Mentor junior staff in quantitative methodologies and decision-making frameworks.
Engage with functional teams to align program narratives for governance.
Lead external representation by contributing to peer-reviewed publications and conferences.

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