Informatics and AI engineer, Biotherapeutics

Pfizer, S.A. de C.V; Cambridge (MA); On-site; USD 106,000 - 177,000; Full time

Benefits offered by this job

Hybrid role

Relocation assistance

Job summary

Pfizer is hiring an Informatics and AI engineer in Cambridge, MA to build an AI-ready data architecture for biotherapeutics labs. You will create innovative software and agentic AI solutions to structure Pfizer’s proprietary data and derive insights from diverse datasets, enabling testable hypotheses across the drug discovery value chain.

You will collaborate with ML experts, curate datasets, and drive data products from development to production with a hybrid on-site role.

Qualifications

• PhD or Master’s with 2+ years of AI-powered research apps.
• Strong data handling, integration and analysis skills.
• Biologics drug discovery knowledge, large molecules.
• Experience with LLMs, agentic AI and MCP/RAG systems.
• Excellent Python programming ability.
• Data governance and validation experience.
• Full-stack development with Python/SQL and data warehousing.

Responsibilities

• Develop a modern data platform for scalable data analysis.
• Create data products and ML methods for biologics datasets.
• Curate and integrate relevant public-domain datasets.
• Develop analysis pipelines with agentic AI approaches.
• Deploy data products via data integration and testing.
• Collaborate with external companies and academia.

Skills

Python

LLMs

Agentic AI

Data integration

Full-stack Dev

SQL

Cloud architectures

Education

PhD or Master’s + AI exp

Biotech drug discovery knowledge

Tools

Docker

Kubernetes

Nextflow

Job description

Informatics and AI engineer, Biotherapeutics

• United States - Massachusetts - Cambridge

We’re in relentless pursuit of breakthroughs that change patients’ lives. We innovate every day to make the world a healthier place.

To fully realize Pfizer’s purpose – Breakthroughs that change patients’ lives – we have established a clear set of expectations regarding “what” we need to achieve for patients and “how” we will go about achieving those goals.

Pfizer Research & Development serves as the beating heart of Pfizer's trailblazing product pipeline, the essence of our mission to bring life-changing medicines to the world.

Pfizer offers competitive compensation and benefits programs designed to meet the diverse needs of our colleagues.

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 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
• 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 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 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 [e-mail] . 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