POSITION SUMMARY
As a member of our cross-functional Data Ecosystem Team, you will help build and scale an AI-ready data architecture supporting In-Vivo biology labs. In this role, 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 and implementation of a data platform to enable efficient and scalable correlation and analysis of in vitro and in vivo data
Development of innovative data products and machine learning methods for data to support translational studies 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 data analysis pipelines
Development and roll out of data products engineered to meet specific data access patterns
Implementation, testing and validation of new methods for data analysis and visualization techniques
Drive collaborations with external companies and academic institutions
Develop Pfizer in vivo 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, Pharmacology, Toxicology, Computer Science, Physics, Statistics, or a related technical discipline OR
Master’s degree and 2+ years of experience building AI powered research applications
Experience in In-Vivo Pharmacology
Strong background in data handling, integration and analysis
Thorough understanding of drug discovery and biology with a particular focus on in vivo / in vitro translational research.
Research experience in developing data products and data integration solutions
Experience solving complex analyses/problems in a timely fashion
Exceptional programming skills in Python
Strong full-stack development experience 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 experience
Hands-on experience handling, processing, integrating, and analyzing large heterogenous data sets data in a drug discovery research environment
Proficiency in front-end technologies such as typescript, reactjs and browser-based visualization techniques
Proficiency utilizing AI/ML libraries including PyTorch and Lightning is a plus
Experience with LLMs/RAG systems
Proven expertise in software engineering, package development, cloud architectures, CI/CD and software engineering tooling
Familiarity with pertinent libraries within the Python scientific stack
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
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.
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. 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.