Informatics and AI Engineer, Biotherapeutics

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

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. 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.

Sunshine Act

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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