Portfolio Analytics Lead

About the Role

Key Responsibilities

• Work with cross-business unit Clinical Operations DA level workgroups, Clinical Operations leaders, project/study teams, and lifecycle teams to understand business needs and priorities.
• Deliver integrated insights and analytics, trade-off analyses, and risk assessments to optimize patient recruitment strategies, country footprint, and clinical site selection.
• Proactively assess the health of the portfolio and identify opportunities to expedite evidence generation and accelerate study and product delivery.
• Utilize state-of-the-art methodologies including predictive modeling, ML/AI, and scalable prototypes to analyze complex data and interpret results for portfolio-level decisions.
• Identify, interpret, and communicate the effects of trial design elements, country and site selection, competitor activities, and engagement tactics on clinical trial recruitment and retention forecasts.
• Lead relevant data science and analytics projects, manage product development cycles, and ensure project success.
• Collaborate with cross-functional communities and subject matter experts to create and implement globally aligned strategies and tools.
• Lead and coach junior team members and engage with IT and data governance teams to clarify data needs.

Requirements

• Bachelor's degree in Data Science, Mathematics, Statistics, Computer Science, Life Sciences, Public Health, or a related field; Graduate-level degree preferred.
• 7+ years of experience with Bachelor's; 5+ years with Master's; 3+ years with PhD in areas such as Patient Insights, Forecasting, Data Analytics, or Clinical Operations in the pharmaceutical/biotech industry.
• Strong experience working with and engaging Clinical Operations stakeholders as a strategic thought partner.
• Experience leading or working with SMEs from cross-business units to analyze and solve business problems using data-driven methods.
• Proficiency with scripting and analytical programming (e.g., Python, R, SQL, JavaScript, or related libraries) preferred.
• Knowledge of snowflake/cloud architecture and data modeling concepts preferred.
• Experience with various forecasting methods and techniques strongly preferred.
• Portfolio management experience and ability to lead in a matrix environment using influence without authority.
• Excellent communication skills, both written and verbal, with the ability to convey complex ideas clearly.
• Strong interpersonal skills and a consultative mindset.

Nice to Have

• Experience with cloud data platforms such as Snowflake.
• Experience with predictive modeling, machine learning, and scalable prototypes.
• Experience in clinical trials or clinical operations in biotech/pharmaceutical industries.

Qualifications

• Educational background in Data Science, Mathematics, Statistics, Computer Science, Life Sciences, or Public Health.
• Work experience ranging from 3+ to 7+ years depending on degree level.

Benefits & Perks

• Discretionary annual bonus based on individual and company performance.
• Position located onsite at South San Francisco campus with at least 3 days a week presence.
• Salary range of $148,100 - $275,000 based on experience and qualifications.
• Benefits detailed at the provided link.