AI Data Engineer--In Vivo Data

Company: Pfizer

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.

WORK ARRANGEMENT & COMPENSATION

• Hybrid Role: Requires living within commuting distance and working on-site an average of 2.5 days per week or more as needed.
• Annual Base Salary: $106,000.00 to $171,500.00.
• Bonus & Incentives: Eligible for Pfizer’s Global Performance Plan (bonus target of 15.0% of base salary) and share-based long-term incentive program.
• Benefits: 401(k) plan with Pfizer Matching Contributions and Retirement Savings Contribution; paid vacation, holiday, and personal days; paid caregiver/parental and medical leave; health, dental, vision, and prescription drug coverage.

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. 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.

INFORMATION & BUSINESS TECH

A career at Pfizer offers opportunity, ownership and impact. All over the world, Pfizer colleagues work together to positively impact health for everyone, everywhere. Our colleagues have the opportunity to grow and develop a career that offers both individual and company success; be part of an ownership culture that values diversity and where all colleagues are energized and engaged; and the ability to impact the health and lives of millions of people. Pfizer, a global leader in the bio pharmaceutical industry, is continuously seeking top talent who are inspired by our purpose to innovate to bring therapies to patients that significantly improve their lives.

Responsibilities:

The role involves developing and implementing a data platform for in vivo biology labs, enabling efficient data correlation and analysis. It also includes collaboration with machine learning experts and external partners to enhance data products and methodologies.

Requirements:

Candidates should have a PhD or a Master's degree with relevant experience in AI-powered research applications and in vivo pharmacology. Strong programming skills in Python and experience with data integration and analysis are essential.