Analytics Lead

Role Overview

• Work with Clinical Operations Therapeutic Area Communitie, Franchise Leads, Study Management & Country Leaders, Late Stage Portfolio Committee (LSPC) stakeholders, Lifecycle Teams to understand business needs and priorities, as well as immediate scope of work
• 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
• Openly share perspective and insights to elevate team thinking and drive a balanced, holistic point of view; effectively weigh and communicate trade-off considerations
• Take an enterprise and One PDG mindset, linking individual responsibilities with broader organization; focus on outcomes that provide most business value
• Demonstrate self-accountability and integrity
• Demonstrate strategic agility and an ability to engage stakeholders to understand and diagnose business problems and recommend appropriate courses of action
• Look for opportunities for continuous improvement; engage managers and peer group regularly for coaching, assistance, and advocacy
• Stay current with and adopt emergent relevant methodologies, tools and applications to ensure fit-for-purpose and impactful approaches
• Act as a thought partner and advisor to all relevant teams and stakeholders; look for and establish opportunities for peer mentorship
• Actively participate in cross functional communities, networks and/or knowledge-sharing bodies that enable broader and more effective use of insights and/or analytics that drive and support decisions
• Acquire, aggregate and/or curate data and information

Requirements

• Bachelor's Degree (Business, Economics, Statistics, Mathematics, or Physical Sciences or related field is a plus); MBA or Graduate-level Degree is preferred
• Proven work experience with Masters or PhD, preferably within pharmaceutical or biotech industry (commercial or clinical) and/or management consulting
• Expertise in at least one of the following areas: Patient Insights, Investigator Insights, Forecasting, Competitive Intelligence, Data Analytics, Advanced Data Analytics, Resourcing, Information Visualization and/or Data Science
• Experience with various forecasting methods and techniques strongly preferred
• Understands the advantages and limits of different analytical approaches
• Working knowledge of 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)
• Autonomous or semi-autonomous examination of data or content
• Demonstrated use of sophisticated techniques, tools & languages typically beyond those of traditional data analysis to discover deeper insights, make predictions, or generate recommendations
• Experience acting as a strategic thought partner to teams; entrepreneurial mindset, to transform the way we use data and analytics to enable decisions and hasten our delivery of medicines for our patients
• Track record of effectively working in a matrix environment with international team members coming from scientific, business and operational backgrounds, using influence without authority
• Expertise in standard analysis and presentation software (Excel, PowerPoint)
• Ability to merge together data sets from disparate sources and report findings in a variety of formats and mediums
• Persuasive written and verbal communication skills, easily communicating complex ideas. Strong attention to detail.

Tech Stack

• Python
• SQL

Benefits

• Flexible working arrangements
• Professional development opportunities