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Informatics and AI engineer, Biotherapeutics

Pfizer

Informatics and AI engineer, Biotherapeutics

full-timePosted: Aug 26, 2026Updated: Sep 1, 2026United States - Massachusetts - Cambridge

Job Description

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 PfizerCurate and integrate relevant datasets from the public domainDevelop analysis pipelines with appropriate use of agentic AIDevelop and deploy data products to meet specific needs through data integrationImplement, test, and validate new methods for data analysis and visualization techniquesDrive collaborations with external companies and academic institutionsEnhance Pfizer biologics data capture, metadata tagging, and storage strategy along with Pfizer’s Digital organizationOnboard Pfizer colleagues to the data platform and organization of workshops, hackathons, trainings and scientific talksStrengthen external visibility and scientific excellence through publishing / presenting work in reputed journals and conference/workshop venues and engaging with the scientific communityBASIC 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 applicationsStrong background in data handling, integration and analysisThorough 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 sciencesExperience solving complex analyses/problems in a timely fashionExperience with LLMs, agentic AI, and MCP/RAG systemsExceptional programming skills in Python Experience with data governance rules and data validationStrong 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 expertisePREFERRED QUALIFICATIONS:Proficiency in front-end technologies and browser-based visualization techniquesExpertise in software engineering, package development, cloud architectures, CI/CD, and software engineering toolingNextflow pipeline developmentStrong knowledge of Linux systems including containerization technologies and HPC environmentsFamiliarity with pertinent libraries within the Python scientific stackHands-on experience handling, processing, integrating, and analyzing large heterogenous data sets data in a drug discovery research environmentExperience with Claude Code or equivalent and agentic coding paradigmsDemonstrated ability to communicate complex technical work through publications, presentations, or detailed documentationExperience 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 September 3, 2026 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. 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 ActPfizer 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 EligibilityPfizer 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

Locations

  • United States - Massachusetts - Cambridge

Skills Required

  • AI powered research applicationsintermediate
  • data handlingintermediate
  • LLMsintermediate
  • data governance rulesintermediate
  • front-end technologiesintermediate
  • software engineeringintermediate
  • Linux systems including containerization technologiesintermediate
  • pertinent libraries within the Python scientific stackintermediate
  • Claude Codeintermediate

Required 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 (experience, 2 years)
  • Strong background in data handling, integration and analysis (experience)
  • Thorough understanding of drug discovery and biology with a particular focus on large molecule therapeutics such as peptides and antibodies. (experience)
  • 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)
  • Experience solving complex analyses/problems in a timely fashion (experience)
  • Experience with LLMs, agentic AI, and MCP/RAG systems (experience)
  • Exceptional programming skills in Python (experience)
  • Experience with data governance rules and data validation (experience)
  • 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. (experience)
  • Strong communication skills—verbal, written and presentation; demonstrated ability to communicate at the appropriate technical level with scientists having diverse areas of expertise (experience)
  • 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 (experience, 2 years)
  • Strong background in data handling, integration and analysis (experience)
  • Thorough understanding of drug discovery and biology with a particular focus on large molecule therapeutics such as peptides and antibodies. (experience)
  • 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)
  • Experience solving complex analyses/problems in a timely fashion (experience)
  • Experience with LLMs, agentic AI, and MCP/RAG systems (experience)
  • Exceptional programming skills in Python (experience)
  • Experience with data governance rules and data validation (experience)
  • 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. (experience)
  • Strong communication skills—verbal, written and presentation; demonstrated ability to communicate at the appropriate technical level with scientists having diverse areas of expertise (experience)
  • Ability to perform complex data analysis. (experience)
  • Ability to perform complex data analysis. (experience)

Preferred Qualifications

  • Proficiency in front-end technologies and browser-based visualization techniques (experience)
  • Expertise in software engineering, package development, cloud architectures, CI/CD, and software engineering tooling (experience)
  • Nextflow pipeline development (experience)
  • Strong knowledge of Linux systems including containerization technologies and HPC environments (experience)
  • Familiarity with pertinent libraries within the Python scientific stack (experience)
  • Hands-on experience handling, processing, integrating, and analyzing large heterogenous data sets data in a drug discovery research environment (experience)
  • Proficiency in front-end technologies and browser-based visualization techniques (experience)
  • Expertise in software engineering, package development, cloud architectures, CI/CD, and software engineering tooling (experience)
  • Nextflow pipeline development (experience)
  • Strong knowledge of Linux systems including containerization technologies and HPC environments (experience)
  • Familiarity with pertinent libraries within the Python scientific stack (experience)
  • Hands-on experience handling, processing, integrating, and analyzing large heterogenous data sets data in a drug discovery research environment (experience)
  • Experience with Claude Code or equivalent and agentic coding paradigms (experience)
  • Demonstrated ability to communicate complex technical work through publications, presentations, or detailed documentation (experience)
  • Experience taking ideas from prototype to production. (experience)
  • Experience with Claude Code or equivalent and agentic coding paradigms (experience)
  • Demonstrated ability to communicate complex technical work through publications, presentations, or detailed documentation (experience)
  • Experience taking ideas from prototype to production. (experience)

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
  • 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

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