The role involves applying data engineering and MLOps practices to automate workflows curate datasets design databases and integrate multi-modal datasets for drug safety science in collaboration with various scientific teams.

POSITION SUMMARY
You will apply modern Data Engineering and MLOps best practices in a highly collaborative environment You will be a core contributor to our Computational Safety Sciences team helping drive the next generation of data‑ and AI‑enabled drug safety science. You will focus on automating scientific workflows curating and engineering AI‑ready datasets and enabling scalable reusable AI solutions across functions.. You will work closely with Bioinformaticians Data Scientists Toxicologists and Technology partners to turn complex scientific data into robust production‑grade AI assets.
POSITION RESPONSIBILITIES

• Apply Python and/or R programming to support data processing visualization and exploratory analyses in support of computational safety science workflows.
• Implement and support machine learning and data science workflows by preparing structuring and validating data for AI‑enabled toxicology and safety assessment use cases.
• Design curate and maintain well‑structured datasets and databases for chemical biological and toxicology data ensuring consistency with Pfizer data standards and quality expectations.
• Collaborate closely with toxicologists pathologists bioinformaticians and data scientists to integrate multi‑modal datasets (e.g. chemical structures in vitro and in vivo data omics).
• Contribute to foundational data architecture efforts by helping implement scalable reusable data pipelines and AI‑ready data assets.
• Follow best practices for data integrity security and regulatory compliance while adopting good coding hygiene version control testing and documentation to support reproducibility.
• Communicate results and progress through clear documentation reports and presentations and actively participate in team discussions to continuously improve workflows and approaches.
• Stay current with emerging data engineering and computational toxicology methods with a strong interest in learning and applying new tools and best practices.

BASIC QUALIFICATIONS

• MS in Biology Pharmacology Toxicology Computer Science Physics Statistics or a related technical discipline OR
• BS and 1+ years of experience building AI powered research applications

• Technical Skills:
  
  • Experience in R and/or Python for data analysis and modeling.
  • Proficiency in version control (e.g. Git) and adherence to coding best practices including structured workflows documentation and reproducibility standards.
  • Experience in database creation management and analysis particular with toxicology datasets
  • Understanding of data architecture principles to support AI workflows.
• Foundational knowledge in biology and/or chemistry.
• Strong communication collaboration and problem-solving skills.

PREFERRED QUALIFICATIONS

• Experience working with heterogeneous datasets for basic processing integration and analysis.
• Exposure to front‑end or visualization tools (e.g. Shiny Streamlit).
• Basic understanding of LLM and RAG concepts is a plus.
• Foundational software engineering skills including writing clean code and using version control.
• Familiarity with common Python scientific libraries (e.g. NumPy pandas).
• Interest in AI‑assisted coding tools and modern development workflows.
• Contributor to team or academic projects.
• Experience supporting prototypes or analyses moving toward reusable solutions.
• Exposure to workflow tools (e.g. Nextflow).

PHYSICAL/MENTAL REQUIREMENTS
Ability to communicate and to work on teams
NON-STANDARD WORK SCHEDULE TRAVEL OR ENVIRONMENT REQUIREMENTS
Limited travel requirements for meetings trainings and conferences
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.
The annual base salary for this position ranges from $82700.00 to $137900.00. In addition this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 10.0% of the base salary. 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.
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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.
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Research and Development