Senior Manager, Medical Analytics

Role Overview

• Lead and support the design, development, and deployment of advanced analytical solutions that align with Global Medical Affairs strategic objectives.
• Analyze, synthesize, and integrate various secondary data to uncover insights and recommend actions and business solutions to drive performance.
• Collaborate with cross-functional partners to identify and incorporate opportunities to apply AI, machine learning, quantitative methods, multivariate statistics, predictive modeling, and other advanced analytics techniques within Medical Affairs analyses.
• Exercise sound judgement and critical thinking to translate complex analytics into clear, data-driven recommendations that support medical leadership decision-making, inform MSL strategies and enhance patient outcomes.
• Own the development, interpretation and continuous improvement of medical analytics deliverables, including but not limited to dashboards, recurring reports, and KPIs/metrics, and ensure continuous alignment with evolving medical leadership needs.
• Prepare, interpret and present analyses on specific business objectives and in preparation for ad hoc "investigative" requests.
• Lead and support the development of the field medical targeting framework, including HCP segmentation, digital omnichannel tactics, and providing and recommendations for balancing and/or enhanced operational performance.
• Proactively coordinate and promote positive medical and cross-functional stakeholder relations (e.g., Global Field Medical Excellence, US Strategy & Performance, data & analytics teams, etc.) to deliver an integrated and high-quality secondary data analysis and insights capability.
• Demonstrate a growth mindset by continuously advancing the Analytics team capabilities by researching, developing, and implementing new analytical tools, methodologies, internal and external standard processes, new data sources, etc.
• Act as a steward of data integrity and governance, promoting compliance with Amgen enterprise/Medical data management governance and standards; ensure data compliance, integrity, and accuracy in all analyses and reports.

Requirements

• Doctorate degree and 2 years of analytics experience in the biopharmaceutical industry
• Or Master’s degree and 4 years of analytics experience in the biopharmaceutical industry
• Or Bachelor’s degree and 6 years of analytics experience in the biopharmaceutical industry
• Or Associate’s degree and 10 years of analytics experience in the biopharmaceutical industry
• Or High school diploma / GED and 12 years of analytics experience in the biopharmaceutical industry
• Demonstrated proficiency in Biotechnology/Pharmaceutical secondary data and analytics experience spanning across different teams and therapeutic areas, e.g., National/Subnational, HCP and patient level analysis, field targeting framework, etc.
• Deep understanding of the pharmaceutical ecosystem and data sets including prescription (ex. IQVIA NPA), outlet (ex. IQVIA DDD), Lab as well as medical and pharmacy claims (ex. Symphony Claims.)
• Advanced expertise in performing comprehensive data analysis using SQL and/or Python to extract, clean, and manipulate data, and develop sophisticated statistical/AI-ML models
• Strong track record of synthesizing and integrating multiple secondary data sources to generate high-impact insights, recommendations, and narratives that influence decision making.
• Strong Project management experience, including leading agile ceremonies, writing user stories, and tracking performance through defined KPIs to ensure alignment with business goals.
• Demonstrated ability to operate effectively and independently within a highly matrixed organization, building alignment across functions and levels while maintaining accountability for deliverables.
• Exceptional communication and executive presence, including strong active listening, oral and written presentation skills, with the ability to distill complex analytical concepts into clear, compelling messages and visuals tailored to diverse cross functional partners.

Tech Stack

• Python
• SQL

Benefits

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions
• Group medical, dental and vision coverage
• Life and disability insurance
• Flexible spending accounts
• A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
• Stock-based long-term incentives
• Award-winning time-off plans
• Flexible work models where possible.