The role involves designing and deploying AI systems for clinical operations developing models for decision-making and ensuring AI implementation aligns with data governance standards. Responsibilities include collaborating across teams enhancing operational efficiency and advancing AI applications in a regulated environment.

POSITION SUMMARY
In this "hands-on" position you will design build and deploy production-grade AI systems that will power enterprise-scale capabilities across the Clinical Development & Operations organization. This is a high-impact role for a builder who thrives on solving real-world business problems in a complex data-rich and regulated environment. You will be instrumental in advancing the practical application of LLMs and agentic AI by identifying high-value use cases developing reusable workflows and partnering with stakeholders to drive adoption and impact. Combining deep expertise in software engineering and machine learning you will take solutions from prototype to production embedding MLOps best practices to ensure they are reliable scalable and reproducible. You will drive business transformation through proactive thought-leadership innovative analytical capabilities and the ability to communicate highly complex information in new and creative ways.
WHAT YOU"LL DO
Develop and Implement AI Solutions

• Build and deploy AI/ML models and solutions that support process-heavy workflows (e.g. protocol feasibility and site selection study start-up etc.) including documentation and operational reporting.
• Contribute to the automation of manual and repetitive activities to improve speed quality and consistency.

Strengthen Operational Decision-Making

• Develop predictive optimization and scenario-based models to support clinical trial supply forecasting and operational planning.
• Create and maintain dashboards and decision-support tools that translate complex data into actionable insights for CD&O leadership and operational teams.

Engineer Production-Grade AI Systems

• Implement AI solutions that are aligned with data integrity standards and governance best practices including model validation versioning and monitoring.
• Design and implement AI agentic solutions that can plan and execute multi-step workflows.
• Build robust production-ready ML and analytics pipelines with a focus on reproducibility and scalability.
• Deploy AI solutions in cloud environments ensuring reliability security and seamless integration with existing systems.

Collaborate Across Disciplines

• Partner closely with CD&O line teams scientists and Digital partners to ensure that AI efforts remain tightly aligned to real scientific needs and can be deployed in ways that are trusted scalable and adopted in day-to-day work.
• Champion best practices in AI engineering system lifecycle.

BASIC MINIMUM QUALIFICATIONS

• PhD in Computer Science Machine Learning Data Science Software Engineering AI or a related discipline and a minimum of 5 years of applied analytical experience with demonstrated impact in operations automation business analytics or decision support OR
• Master's in Computer Science Machine Learning Data Science Software Engineering AI or a related discipline and a minimum of 7 years of applied analytical experience with demonstrated impact in operations automation business analytics or decision support.
• Strong hands-on experience applying LLMs generative AI machine learning or related AI approaches to real-world workflows products or analytical use cases ideally within R&D clinical operations or large-scale regulated organizations.
• Experience building practical reusable workflows or systems rather than one-off analyses with strong implementation skills in Python and modern AI / ML tooling.
• Sound judgment regarding methodological rigor model limitations evaluation and the appropriate role of human oversight in AI-enabled workflows.
• Experience working directly with domain users or stakeholders to translate ambiguous needs into useful technical solutions with evidence of strong collaboration and communication skills.

TECHNICAL SKILLSET

• AI Engineering/ Framework: Strong hands‑on experience with Python building ML/DL with libraries (e.g. TensorFlow PyTorch Keras Scikit-learn) and LLM‑based systems and agentic frameworks including RAG architectures prompt engineering embeddings fine‑tuning evaluation and orchestration (e.g. ADK LangChain LangGraph Vertex AI Claude).
• Software & Data Engineering/ Framework: Experience with Java JavaScript/TypeScript React FastAPI SQL/PostgreSQL Snowflake S3 and enterprise data and knowledge systems (e.g. BigQuery Neo4j).
• Cloud DevOps & MLOps: Proficient with Git Docker CI/CD and cloud platforms (AWS/GCP/Azure) with a strong focus on reproducibility deployment monitoring and production‑ready MLOps.

PREFERRED QUALIFICATIONS

• Experience in life sciences pharma biotech systems biology immunology translational science omics or related research environments.
• Experience operating across scientific and technical disciplines with enough domain fluency to engage credibly with scientists while still bringing a strong applied-AI builder mindset.

Work Location Assignment: This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week.
Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers develop and coach others oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.
NON-STANDARD WORK SCHEDULE TRAVEL OR ENVIRONMENT REQUIREMENTS
Occasional travel may be required to collaborate with colleagues across Pfizer sites participate in workshops support adoption activities or engage with internal and external partners.
The annual base salary for this position ranges from $176600.00 to $294300.00. In addition this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 20.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution paid vacation holiday and personal days paid caregiver/parental and medical leave and health benefits to include medical prescription drug dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa FL or any location outside of the United States.
Relocation assistance may be available based on business needs and/or eligibility.
Candidates must be authorized to be employed in the U.S. by any employer.
U.S. work visa sponsorship (such as TN O-1 H-1B etc.) is not available for this role now or in the future.
Sunshine Act
Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name address and the type of payments or other value received generally for public disclosure. Subject to further legal review and statutory or regulatory clarification which Pfizer intends to pursue reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse your name address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter please do not hesitate to contact your Talent Acquisition representative.
EEO & Employment Eligibility
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race color religion sex sexual orientation age gender identity or gender expression national origin disability or veteran status. Pfizer also complies with all applicable national state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.
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