AI Data Engineer – Peptides and Biologics

Pfizer

Position Summary

Our cross-functional Data Ecosystem Team is looking to identify a forward-deployed data and AI engineer to help build and scale an AI-ready data architecture supporting biologics labs. You will leverage your expertise to design innovative software solutions that extract valuable insights from Pfizer's proprietary data and external datasets, enabling the generation of testable hypotheses across the entire drug discovery value chain.

Position Responsibilities

• Development, support and implementation of a modern data platform to enable efficient and scalable correlation and analysis of data for biological drug modalities.
• Development of innovative data products and machine learning methods for biologics data together with machine learning experts within Pfizer.
• Processing, analysis and integration of internal in vivo pharmacodynamics and toxicology data sets.
• Curation and integration of relevant datasets from the public domain.
• Development of analysis pipelines.
• Development and roll out of data products to meet specific needs through data integration.
• Implementation, testing and validation of new methods for data analysis and visualization techniques.
• Drive collaborations with external companies and academic institutions.
• Develop Pfizer biologics data capture, metadata tagging and storage strategy along with Pfizer’s Digital organization.
• Onboarding of 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, siRNA, antisense, mRNA and antibodies.
• Research experience developing data products and data integration solutions as well as a sincere interest for computational life sciences.
• Experience solving complex analyses/problems in a timely fashion.
• Exceptional programming skills in Python.
• Strong experience as a full-stack developer with focus on python, in-depth database expertise with a focus on postgres, and ETL frameworks.
• Strong communication skills—verbal, written and presentation.

Preferred Qualifications

• Nextflow pipeline development.
• Proficiency in front-end technologies such as typescript, reactjs and browser-based visualization techniques is a plus.
• Proficiency in utilizing AI/ML libraries including PyTorch and Lightning.
• Experience with LLMs/RAG systems.
• Expertise in software engineering, package development, cloud architectures, CI/CD and software engineering tooling.
• 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 vibe coding paradigms.
• Strong publication record and demonstrated contributions to the field.
• Experience taking ideas from prototype to production.

Compensation and Work Environment

• Work Arrangement: 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.
• Salary Range: The annual base salary for this position ranges from $106,000.00 to $171,500.00.
• Bonus & Incentives: 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.
• Benefits: Comprehensive benefits 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 (medical, prescription drug, dental, and vision).
• Note: 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

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.

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.

Information & Business Tech

Pfizer careers are like no other. In our culture of individual ownership, we believe in our ability to improve future healthcare, and potential to transform millions of lives. We’re looking for new talent to join our global community, to unearth new innovative therapies that make the world a healthier place.

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Responsibilities:

The role involves developing and implementing a modern data platform for biological drug modalities and creating innovative data products and machine learning methods. Additionally, it includes collaborating with external companies and academic institutions to enhance Pfizer's biologics data capabilities.

Requirements:

Candidates must have a PhD or a Master's degree with relevant experience in AI-powered research applications and a strong background in data handling and drug discovery. Exceptional programming skills in Python and experience with large molecule therapeutics are also required.