Top Tech Jobs & Startup Jobs in Boston, MA

Leads applied AI and machine learning strategy, development, evaluation, governance, and adoption across Pfizer’s Internal Medicine Research Unit. Translates foundation models, LLMs, agentic systems, and multimodal AI into reusable capabilities for scientific discovery, drug development, and evidence generation. Partners with scientists, digital teams, and external collaborators to identify high-value use cases, ensure methodological rigor, and guide responsible deployment. Requires strong technical leadership, scientific judgment, cross-functional influence, and experience applying AI in complex environments.

Leads reporting, analytics, and optimization across Pfizer’s promotional content delivery ecosystem. Builds and maintains dashboards and report catalogs using Power BI and Adobe platforms, monitors adoption and usage trends, interprets metrics, and delivers actionable recommendations. Manages complex cross-functional projects involving Biopharma Operations, marketing, agencies, and stakeholders. Supports improved content effectiveness, speed to market, service efficiency, and cost optimization while leveraging AI-enabled insights and operating independently in a matrixed environment.

Designs, builds, and operates production-grade agentic AI systems and orchestration frameworks. Responsibilities include prompt architecture, tool and API integrations, monitoring, evaluation, cost controls, reliability improvements, and governance documentation. The engineer collaborates with data science, data engineering, and governance teams to ensure reliable, compliant workflows using structured healthcare and pharmaceutical data.

Owns the global operational backbone of the InsightXplorer medical insights platform, including access provisioning, licensing, user administration, request intake and triage, hosting coordination, governance, reporting, metrics, workload visibility, and resource oversight. The role manages competing priorities across regions, coordinates recurring team cadences, supports leadership-ready reporting, and oversees contracted resources while collaborating with technical partners and cross-functional stakeholders.

Leads the architecture, development, and evolution of Pfizer’s global Medical Insights platform. Translates regional and business needs into scalable technical requirements, sequences roadmap work, coordinates infrastructure and technology partners, and evaluates new data sources, analytics methods, and AI approaches. Partners with stakeholders to deliver platform value, guide technical decisions, and support change management. Requires strong cross-functional influence, technical communication, and experience building data or analytics platforms in pharmaceutical, life sciences, or technology environments.

Build and operate production data pipelines supporting analytics, AI, and agentic workflows. Responsibilities include implementing canonical data models, maintaining Databricks or Snowflake platforms, monitoring reliability, responding to incidents, validating healthcare data mappings, improving performance and cost, and documenting architecture. Requires strong SQL and Python skills, cloud data platform experience, ETL/ELT orchestration expertise, and healthcare or pharmaceutical data experience.

Leads ad hoc and exploratory analyses for medical and business questions across a global Medical Insights organization. Prepares and validates datasets, translates ambiguous stakeholder needs into decision-ready findings, and maintains analytical documentation. Tests new data sources, methods, and AI-enabled approaches through proof-of-concept analyses to guide platform investments and roadmap decisions. Partners with business and product stakeholders while supporting compliant, reproducible use of regulated data.

Leads data science methodology and advanced analytics for AI-enabled Medical Affairs workflows. Develops and evaluates statistical, machine-learning, NLP, and AI models using healthcare and real-world data; defines validation, monitoring, and decision frameworks; partners with engineering, governance, and business teams to operationalize solutions. Provides technical leadership, mentorship, documentation standards, and strategic guidance while ensuring privacy, compliance, responsible AI use, and clear communication of analytical findings.

Lead the design of biotherapeutics using AI/ML methods. Collaborate with teams to implement workflows, optimize antibody engineering, and analyze large biological datasets.

Leads measurement and product marketing for eight enterprise AI platforms. Builds shared KPI, taxonomy, scorecard, data-quality, and value-realization frameworks; translates usage and outcome data into executive insights and investment guidance. Oversees positioning, internal launches, campaigns, enablement, adoption, and audience segmentation. Partners across product, engineering, data, communications, and business teams while building and managing teams responsible for analytics, marketing, and communications.