Portfolio Analytics Lead

Role Overview

• Work with Clinical Operations Disease Area Communities (CODACs) and Clinical Operations Portfolio Enabling Communities (COPECs), Franchise Leads, Study Management & Country Leaders, Study Management Teams, Late Stage Portfolio Committee (LSPC) stakeholders, Lifecycle Teams to understand business needs and priorities, as well as immediate scope of work
• Deliver integrated insights and analytics, trade-off analyses, and risk assessment to enable optimization of patient recruitment strategies, country footprint, and clinical site selection for ongoing and planned clinical trials
• Partner with relevant stakeholders to assess the health of the portfolio of clinical trials and identify opportunities to accelerate the delivery of studies and product launches
• Increase the sophistication and application of advanced analytics methods (including predictive modeling, machine learning, and scalable prototypes) to measure study performance and guide portfolio-level decisions efficiently and at the speed of business
• Create and manage tools with up-to-date industry information to build accurate short-and long-term forecasts
• Work with other team members to pull in insights from primary and secondary data, to continuously improve forecast methods and accuracy
• Communicate the effects that trial design elements, country and site selection, competitor activities and new engagement tactics will have on clinical trial recruitment & retention forecasts
• Provide technical/analytical expertise to team through secondary data analytics
• Apply analytical and statistical methods to answer a variety of business questions using multiple data sources and technical tools/languages
• Monitor and assess the effectiveness of enrollment and engagement efforts, projects, and practices and identify opportunities to optimize value of investments
• Support the identification of appropriate sites and countries for trial placement
• Act as subject matter expert for applicable advanced analytical methodologies, programs and projects
• Collaborate within cross-functional teams to develop solutions, gain alignment and deliver impactful business insights; engage necessary stakeholders to enable better decision-making

Requirements

• Bachelor’s Degree (Business, Economics, Statistics, Mathematics, or Physical Sciences or related field is a plus); MBA or Graduate-level Degree is preferred
• 7+ years of work experience with Bachelors; 5+ year of work experience with Masters; 3+ years of work experience with PhD/JD, preferably within pharmaceutical or biotech industry (commercial or clinical) and/or management consulting
• Deep expertise in at least one of the following areas: Patient Insights, Investigator Insights, Forecasting, Competitive Intelligence, Data Analytics, Statistics, Advanced Data Analytics, Resourcing, Information Visualization and/or Data Science
• Demonstrated experience translating data into insights and creating compelling narratives
• Portfolio management experience is highly desirable
• Experience with various forecasting methods and techniques strongly preferred
• Understands the advantages and limits of different analytical approaches
• Considerable experience applying exploratory & confirmatory data analysis techniques that inform business decisions
• Experience with scripting, statistical & programming languages and analytical tools preferred (i.e. Python, R, SQL, Matlab, SAS, Google/Adobe analytics)

Tech Stack

• Python
• SQL

Benefits

• Professional development
• Flexible working arrangements