Cambridge, Massachusetts, United States
Onsite
ROLE SUMMARY:
At Pfizer, our purpose is to deliver breakthroughs that change patients’ lives. Our cross-functional Data Ecosystem Team is hiring a data and AI engineer to help build and scale an AI-ready data architecture supporting biotherapeutics labs. You will leverage your expertise to design innovative software and agentic AI solutions that help structure and capture Pfizer’s proprietary data, and extract valuable insights from both proprietary and external datasets. You will enable the generation of testable hypotheses across the entire drug discovery value chain.
ROLE RESPONSIBILITIES:
Develop, support and implement a modern data platform to enable efficient and scalable correlation and analysis of data for biologic drug modalities.
Develop of innovative data products and machine learning methods for biologics data together with machine learning experts within Pfizer
Curate and integrate relevant datasets from the public domain
Develop analysis pipelines with appropriate use of agentic AI
Develop and deploy data products to meet specific needs through data integration
Implement, test, and validate new methods for data analysis and visualization techniques
Drive collaborations with external companies and academic institutions
Enhance Pfizer biologics data capture, metadata tagging, and storage strategy along with Pfizer’s Digital organization
Onboard Pfizer colleagues to the data platform and organization of workshops, hackathons, trainings and scientific talks
Strengthen external visibility and scientific excellence through publishing / presenting work in reputed journals and conference/workshop venues and engaging with the scientific community
BASIC QUALIFICATIONS:
PhD in Biology, Chemistry, Physics, Statistics or a related technical discipline OR Master’s degree and 2+ years of experience building AI powered research applications
Strong background in data handling, integration and analysis
Thorough understanding of drug discovery and biology with a particular focus on large molecule therapeutics such as peptides and antibodies.
Research experience developing data products and data integration solutions as well as a sincere desire to innovate at the nexus of data science and agentic AI for life sciences
Experience solving complex analyses/problems in a timely fashion
Experience with LLMs, agentic AI, and MCP/RAG systems
Exceptional programming skills in Python
Experience with data governance rules and data validation
Strong experience as a full-stack developer with focus on python and SQL, in-depth database expertise and understanding of ETL frameworks and data warehouse technologies.
Strong communication skills—verbal, written and presentation; demonstrated ability to communicate at the appropriate technical level with scientists having diverse areas of expertise
PREFERRED QUALIFICATIONS:
Proficiency in front-end technologies and browser-based visualization techniques
Expertise in software engineering, package development, cloud architectures, CI/CD, and software engineering tooling
Nextflow pipeline development
Strong knowledge of Linux systems including containerization technologies and HPC environments
Familiarity with pertinent libraries within the Python scientific stack
Hands-on experience handling, processing, integrating, and analyzing large heterogenous data sets data in a drug discovery research environment
Experience with Claude Code or equivalent and agentic coding paradigms
Demonstrated ability to communicate complex technical work through publications, presentations, or detailed documentation
Experience taking ideas from prototype to production.
PHYSICAL/MENTAL REQUIREMENTS:
Ability to perform complex data analysis.
Additional Job Details:
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 or more as needed.
Last date to apply is June 23, 2026
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.
Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email disabilityrecruitment@pfizer.com. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.
To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers.

Research and Development
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