This role will shape and drive the enterprise-aligned AI strategy for Immunology R&D and translate that strategy into an executable, value-focused portfolio of AI capabilities, data products, and AI solutions. It is a senior executive leadership role at the intersection of Immunology discovery & clinical science, data, AI, product strategy, and organizational execution.
Locations (6)
Cambridge, Massachusetts, United States
New Brunswick, New Jersey, United States
Raritan, New Jersey, United States
San Diego, California, United States
Spring House, Pennsylvania, United States
Titusville, New Jersey, United States
Responsibilities
Define and maintain the Immunology AI strategy, translating therapeutic-area priorities and pipeline needs into a clear multi-year roadmap of AI-enabled capabilities, data products, and solutions.
Lead strategic portfolio planning for Immunology AI, including opportunity identification, value framing, prioritization, sequencing, investment choices, dependencies, and resource alignment.
Create an integrated execution model across Immunology and enabling functions, with clear decision rights, accountable owners, milestones, risks, and measures of value.
Partner with Immunology scientific and development leaders to identify high-impact solutions across discovery, translational research, clinical development, biomarkers, evidence generation, and portfolio decision-making.
Provide technical leadership and informed challenges on AI solution design, data readiness, model suitability, validation, scalability, interoperability, and responsible use.
Requirements
Advanced degree (PhD, MD, PharmD, MS, or equivalent experience) in computer science, AI/ML, engineering, biomedical sciences, computational biology, applied mathematics, data science, or a related scientific discipline
Senior executive leadership role shaping and driving enterprise-aligned AI strategy for Immunology R&D and translating that strategy into an executable, value-focused portfolio of AI capabilities, data products, and AI solutions.
Apply computational and biological expertise to help answer high-value scientific questions using diverse biological, molecular, and clinical datasets.
Compensation
The annual base salary for this position ranges from $106,000.00 to $176,600.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 15.0% of the base salary and eligibility to participate in our share based long term incentive program.
Responsibilities
Own scoped analyses and defined biological investigations with appropriate guidance
Partner with scientists to understand biological questions and analytical needs
Apply computational methods to generate high-quality scientific insights
Build expertise in disease biology, drug discovery, and development
Learn how computational evidence supports scientific and portfolio decisions
Requirements
PhD in Computational Biology, Bioinformatics, Genetics, Genomics, Systems Biology, Biostatistics, Biomedical Engineering or related discipline
Master's degree with 2+ years of relevant experience
Nice to have: Experience in biotechnology, pharmaceuticals, healthcare, or biomedical research
Nice to have: Experience supporting drug discovery or development activities
Nice to have: Familiarity with AI-enabled scientific workflows
Senior Expert I will be directly involved in the development and maintenance of the LIMS, pipeline, and assays to produce high-quality, analyzable datasets for clinical trials and research.
Compensation
The salary for this position is expected to range between $123,885.00 to $234,000.00 per year.
Responsibilities
Develop and maintain LIMS, pipeline, and assays
Implement robust tooling for new assays and data integration
Design, develop, maintain, and support NGDx LIMS and pipelines
Collaborate with lab associates and clinical trial data management
Ensure quality control of data products
Requirements
Master’s degree in Bioinformatics, Computer Science, or related field
The role is responsible for the scientific strategy of real-world evidence (RWE) generation projects, ensuring their alignment with medical, regulatory and strategic objectives. This includes leading the methodological design of RWE studies and interpreting data to deliver actionable messages.
Locations (2)
Boulogne, Hauts-de-Seine, France
Toulouse, Haute-Garonne, France
Responsibilities
Define and drive the scientific strategy for real-world evidence (RWE) generation for assigned products, indications or programs.
Contribute with R&D, Medical Affairs, and HEOR to the Integrated Evidence Generation Plan (IEGP).
Challenge and refine the scientific, medical and regulatory objectives of projects.
Lead the methodological design of RWE studies from research question to final design.
Identify and select the most relevant and usable data sources for each research question.
Requirements
Master's degree or PhD in epidemiology
Chef principal, Accès au marché et Affaires gouvernementales – Oncologie, Québec et Canada atlantique
Lead revenue expansion, lead generation, and key account acquisition across global pharmaceutical, biotech, and medical device accounts.
Responsibilities
Develop and execute a comprehensive territory and account-level growth strategy to identify, prospect, and close new business opportunities in the life sciences and medical device market.
Identify and engage prospective clients, leveraging a consultative sales approach to understand their needs and present tailored healthcare real-world data (RWD), insights, and analytics solutions.
Build and maintain strong relationships with key decision-makers in life sciences organizations and medical device companies. Drive post-sale account expansion by identifying new therapeutic use cases and expanding relationships across brand and analytics teams within existing accounts.
Manage the complete sales lifecycle—from initial lead generation and qualification to deal negotiation, closing, and post-sale account expansion.
Collaborate with cross-functional teams, including product development and marketing, to ensure alignment and effective delivery of our value proposition.
Lead revenue expansion, lead generation, and key account acquisition across global pharmaceutical, biotech, and medical device accounts.
Responsibilities
Develop and execute a comprehensive territory and account-level growth strategy to identify, prospect, and close new business opportunities in the life sciences and medical device market.
Identify and engage prospective clients, leveraging a consultative sales approach to understand their needs and present tailored healthcare real-world data (RWD), insights, and analytics solutions.
Build and maintain strong relationships with key decision-makers in life sciences organizations and medical device companies. Drive post-sale account expansion by identifying new therapeutic use cases and expanding relationships across brand and analytics teams within existing accounts.
Manage the complete sales lifecycle—from initial lead generation and qualification to deal negotiation, closing, and post-sale account expansion.
Collaborate with cross-functional teams, including product development and marketing, to ensure alignment and effective delivery of our value proposition.
Requirements
Nice to have: Marketing experience in healthcare data
Nice to have: Oncology therapeutic area
Nice to have: AI-driven healthcare analytics
Nice to have: Early-stage venture-backed healthcare technology
This is a remote role driving revenue expansion, lead generation, and key account acquisition across global pharmaceutical, biotech, and medical device accounts.
Responsibilities
Develop and execute a comprehensive territory and account-level growth strategy to identify, prospect, and close new business opportunities.
Identify and engage prospective clients, leveraging a consultative sales approach to understand their needs and present tailored healthcare real-world data (RWD), insights, and analytics solutions.
Build and maintain strong relationships with key decision-makers in life sciences organizations and medical device companies.
Drive post-sale account expansion by identifying new therapeutic use cases (e.g., Commercial Analytics, HEOR, RWE).
Manage the complete sales lifecycle—from initial lead generation to qualification to deal negotiation, closing, and post-sale account expansion.
Requirements
Nice to have: Marketing experience
Nice to have: Oncology
Nice to have: AI-driven healthcare analytics
Nice to have: Venture-backed/high-growth startup experience
The anticipated base pay range for this position is : $204,000.00 - $351,900.00
Responsibilities
Define and maintain the Immunology AI strategy
Lead strategic portfolio planning for Immunology AI
Create an integrated execution model across Immunology and enabling functions
Partner with Immunology scientific and development leaders
Provide technical leadership and informed challenges on AI solution design
Requirements
Advanced degree (PhD, MD, PharmD, MS, or equivalent) in computer science, AI/ML, engineering, biomedical sciences, computational biology, applied mathematics, data science, or a related scientific or technical discipline