The analytical and strategic engine of the Medical Innovation organization, architecting the shift from retrospective data reporting to forward-looking, predictive medical intelligence.
Locations (2)
Cambridge, Massachusetts, United States
Morristown, New Jersey, United States
Compensation
The salary range for this position is: $206,250.00 - $297,916.66
Responsibilities
Define and own the Medical Intelligence roadmap, shifting Medical Affairs from 'reporting data' to 'predictive strategy'.
Build and lead the Data Strategy framework that connects clinical evidence, real-world data, field insights, and digital health data streams into a unified, actionable intelligence layer for Medical Affairs.
Champion Medical Plai and other predictive analytics platforms, overseeing their design, testing, and integration into Medical Affairs planning and decision-making workflows.
Own and evolve the Medical Care Gaps identification and analysis framework, ensuring it drives meaningful prioritization across GBU Medical strategies and evidence generation plans.
Lead the development and optimization of MedIS (Medical Insights Engine) capabilities to ensure data accessibility, quality, and strategic utility across the Medical Innovation ecosystem.
The role will lead the strategy, development, and adoption of a digital product supporting study budget, resource, and cost planning and management across global Research & Development.
Compensation
Salary Range: $223,400.00 - $293,400.00 annually
Responsibilities
Define and execute the product strategy and roadmap, aligned with global R&D scientific, clinical, operational, and financial priorities.
Partner with R&D leaders to identify business challenges, assess digital opportunities, and prioritize initiatives based on strategic value, feasibility, expected impact, and scalability.
Lead product planning and prioritization across study budget development, resource and cost forecasting, visibility across forecasts, allocations, and actual costs, reporting, and governance.
Lead the full product lifecycle, from opportunity identification and product discovery through development, launch, adoption, and continuous improvement.
Translate complex R&D and domain needs via customer journey mapping and service design into a clear product vision, requirements, roadmap, acceptance criteria, and measurable outcomes.
Requirements
Bachelor’s degree in life sciences, computer science, engineering, information technology, business, finance or a related discipline
Nice to have: Advanced degree (MBA, MS, PhD, or equivalent)
Nice to have: experience in pharmaceutical
Senior Manager, Performance Management & Talent Systems
Design, standardize, and own end-to-end performance management processes across the global enterprise.
Responsibilities
Design, standardize, and own end-to-end performance management processes across the global enterprise
Ensure consistency in people review outcomes, calibration, and talent decisions across all regions and business units
Establish and maintain global performance management timelines, templates, communication standards, and toolkits. Lead global training for HRBP community
Enable and optimize performance management systems including Oracle HCM, AI-assisted tools, UX enhancements, and people review platforms
Define enterprise reporting standards and analytics frameworks to measure performance management effectiveness
Lead the development and implementation of AI-driven evidence strategies for Lung, Head & Neck therapeutic areas, translating data into actionable insights for portfolio decisions.
Compensation
The annual base pay for this position ranges from $186,014.40 - 279,021.60 Annual USD.
Responsibilities
Define and evolve the Clinical Intelligence & Evidence strategy for Lung, Head & Neck
Seeking a dynamic Senior Director to join the PMO team to drive AI-enabled portfolio strategy initiatives, oversee portfolio reporting, and lead the planning/execution of strategic and operational initiatives.
Compensation
$214,000.00-292,000.00 Annual
Responsibilities
Design and execute strategic initiatives that optimize portfolio performance and resource allocation
Collaborate with cross-functional teams to integrate AI and machine learning capabilities into portfolio management and reporting processes
Design and implement AI-enabled reporting frameworks that automate data collection, analysis, and visualization
Develop advanced analytics dashboards and predictive modeling tools for portfolio performance monitoring
Leverage AI/ML technologies to identify portfolio-level risks, trends, opportunities, and strategic insights
Requirements
Advanced degree in business, engineering, data science, life sciences, or related field
Nice to have: MBA
Nice to have: Advanced degree in data science or AI/ML
As a senior member of our team, the Engineering Manager leads the engineers who build and deliver our clients' data and AI systems.
Locations (4)
Walnut Creek, California, United States
San Francisco, California, United States
Dallas, Texas, United States
Washington, United States
Compensation
This position is also eligible for bonus compensation.
Responsibilities
Lead one or more engineering teams through client engagements, turning data and AI strategy into working systems
Manage the full delivery lifecycle, from technical design and architecture decisions through implementation, code review, testing, and production hand-off
Leads a pod of Forward Deployed Engineers embedded within strategic enterprise customers, owning delivery execution, engineering quality, and team development for production AI systems.
Embed directly inside a strategic enterprise customer to independently design, build, deploy, and run AI-powered production systems alongside the customer's engineering team.
Hire, coach, and grow engineers, setting technical standards and building feedback loops, career paths, and mentorship
Partner directly with client engineering and technology leaders as a peer, translating ambiguous business requirements into a clear technical plan
Make and stand behind architecture and technology choices for data platforms and AI/ML systems, including cloud-native data lakes and warehouses, pipeline orchestration, and MLOps tooling
Requirements
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. USA, CA, East Palo Alto - 212,700.00 - 287,700.00 USD annually. USA, CA, Irvine - 184,900.00 - 250,200.00 USD annually. USA, MA, Boston - 184,900.00 - 250,200.00 USD annually. USA, NY, New York - 203,400.00 - 275,200.00 USD annually. USA, VA, Arlington - 184,900.00 - 250,200.00 USD annually. USA, WA, Seattle - 184,900.00 - 250,200.00 USD annually.
Responsibilities
Lead FDE pod delivery.
Staff and structure the team for optimal customer coverage.
Define execution cadences and ensure consistent engineering quality across active programs.
Provide technical oversight for customer AI programs.
Review architecture decisions and ensure alignment with customer needs and AWS best practices.
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
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