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 immediate scope of work.
• Deliver integrated insights and analytics, trade-off analyses, and risk assessments to optimize patient recruitment strategies, country footprint, and clinical site selection at the DA level.
• Proactively partner with stakeholders to assess portfolio health 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 recruitment and retention forecasts.
• Lead relevant data science and analytics projects, manage product development cycles, and ensure project success.
• Participate in and lead cross-functional communities, collaborate with subject matter experts, and contribute to globally aligned strategies and tools.
• Identify opportunities for continuous improvement and engage with managers and peers for coaching and advocacy.
• Lead and coach junior team members.
• Consult with IT and data governance teams to clarify data needs and oversee data acquisition, aggregation, and curation.

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 Data Science in Clinical Operations within 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.
• Experience with scripting and analytical programming (e.g., Python, R, SQL, JavaScript) 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 predictive modeling, ML/AI, and scalable prototypes.
• Knowledge of cloud data platforms and data modeling concepts.
• Experience with various forecasting methods and techniques.

Qualifications

• Bachelor's degree in relevant fields; graduate degrees preferred.
• 7+ years of relevant experience with Bachelor's, 5+ with Master's, 3+ with PhD.

Benefits & Perks

• Expected salary range of $148,100 - $275,000 based on experience and location.
• Discretionary annual bonus based on individual and company performance.
• Benefits detailed at the provided link.