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Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads scientific and clinical execution for one or more biopharmaceutical studies, overseeing protocol development, data review, safety assessments, risk management, regulatory support, investigator communications, committee operations, training, compliance, and clinical study reporting. Provides clinical guidance across study design, start-up, conduct, close-out, and disclosure while coordinating cross-functional teams and mentoring colleagues. Cardiometabolic experience and global travel may be required. This is a hybrid role requiring onsite work approximately 2.5 days weekly.
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
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.
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
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.
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Senior scientific leader driving obesity discovery research: set strategy, prioritize and validate targets, design and oversee in vivo/ex vivo/in vitro studies, translate mechanistic insights to portfolio decisions, lead and mentor multidisciplinary teams, build external collaborations, and represent programs to leadership and the scientific community while ensuring regulatory and ethical standards.
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads global program management for Pfizer drug development product teams from preclinical development through loss of exclusivity. Oversees integrated planning, budgets, resources, risks, governance, stakeholder communications, decision points, and cross-functional execution. Partners with product, finance, clinical, medical, commercial, and portfolio leaders to deliver programs on time, within budget, and to quality standards. Applies AI-enabled tools to improve decision-making, delivery, and resource efficiency while leading team effectiveness in a complex matrix environment.
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
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.
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads the vision, strategy, and execution of AI-powered data and analytics capabilities for Medical Affairs. Oversees patient journey analytics, advanced segmentation, stakeholder evaluation, data architecture, governance, and AI automation frameworks. Evaluates external innovations, builds proprietary solutions, manages analytics delivery teams, and advises senior leadership on data investments, innovation roadmaps, compliance, ethics, and competitive advantage.
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
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.
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
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.
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
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.
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads analytical methodology and evaluation for AI-based healthcare and pharmaceutical workflows. Owns model selection, cohort and HCP segmentation, agent decision logic, and evaluation frameworks. Partners with engineering, data architecture, and governance teams to productionize rigorous analytical methods, identify new data and techniques, communicate insights, and mentor data science and engineering colleagues.
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
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.
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
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.
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads Pfizer’s US LORBRENA and BRAFTOVI/MEKTOVI lung portfolio, owning multi-year commercial strategy, AI-enabled precision targeting, lifecycle execution, market access coordination, performance measurement, and promotional activities. Manages senior marketing leaders, aligns cross-functional teams, influences enterprise strategy, and drives growth among biomarker-defined NSCLC populations. The role requires advanced pharmaceutical marketing experience, oncology or precision-medicine expertise, analytics fluency, and approximately 20% domestic travel.
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Provide clinical development leadership for the atirmociclib breast oncology program, including medical monitoring, investigator interactions, regulatory document development, cross-functional collaboration, strategic guidance, data interpretation, and representation in external engagements. Serve as Clinical Development Lead on study subteams and support marketing authorization activities while ensuring scientific, ethical, and regulatory compliance.
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The Global Development Lead manages clinical development for assigned assets in Internal Medicine, leading cross-functional teams and ensuring regulatory compliance and study execution.
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Provide clinical development leadership for late-phase hematology trials across 2-3 study teams. Perform medical monitoring, eligibility assessment, safety review, investigator interactions, and regulatory document development. Interpret clinical data, advise cross-functional teams, engage with regulators and ethics committees, and maintain clinical expertise to guide development strategy.
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The Global Development Lead oversees clinical development for Internal Medicine assets, leading cross-functional teams, ensuring regulatory submissions, and providing input on clinical strategies in line with global standards.
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The Senior Medical Director will lead clinical trials and support development strategies in hematology, ensuring compliance and safety while communicating complex concepts effectively.
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The Global Development Lead oversees clinical development for Internal Medicine assets, leading cross-functional teams in study design, execution, regulatory submissions, and providing expertise in chronic weight management and endocrinology.
