The Senior Computational Toxicologist (Chemistry-focused) will lead and support informatics-driven initiatives to integrate chemical and toxicology datasets aimed at improving the overall nonclinical drug discovery and development decision-making and processes, including but not limited to the reduction of currently required toxicity studies, the analysis, uptake and incorporation of new approach methods (NAMs) and the integration of multi-modal data to improve portfolio and study-level decision-making. This role combines advanced computational approaches with toxicology expertise to enable data-driven decision-making across drug discovery and development. The position will focus on building scalable data architectures and applying artificial intelligence/machine learning to transform drug safety assessment by advancing innovative approaches such as hybrid and virtual control study design implementation and multimodal predictive toxicology modeling.
Key Responsibilities
Apply advanced R and/or Python programming for data processing, visualization, and statistical modeling.
Implement machine learning workflows to predict toxicological outcomes and support AI-enabled safety assessments.
Design, develop, curate, and maintain robust databases for chemical and toxicology data, ensuring data quality and compliance with Pfizer data standards.
Collaborate with toxicologists, pathologists, data scientists, and informatics teams to integrate multi-modal datasets (chemical structures, in vitro/in vivo toxicology data) into next generation predictive toxicology models.
Contribute to foundational data architecture strategies and implementation to enable AI-driven insights.
Ensure data integrity, security, and adherence to regulatory requirements, while contributing to best practices for coding workflows, version control, and comprehensive documentation to support reproducibility and transparency.
Communicate findings through reports, presentations, and publications to internal stakeholders and external scientific forums.
Stay current with emerging computational toxicology methods and actively participate in team discussions to improve workflows and approaches.
Basic Qualifications
Education:
Master's in Computational Chemistry/Toxicology, Chemistry, Toxicology, Data Science, or related field with 2+ years of experience
Ph.D. in Computational Chemistry/Toxicology, Chemistry, Toxicology, Data Science, or related field with 0+ years of experience
Technical Skills :
Deep expertise in R and/or Python for data analysis and modeling following coding best practices, including version control, structured workflows, documentation, and reproducibility standards.
Proven experience in database creation, management, and analysis
Expertise in machine learning techniques and their application in chemical, biological and/or toxicological sciences.
Understanding of data architecture principles to support AI workflows.
Soft Skills: Strong communication, collaboration, and problem-solving abilities.
Preferred Qualifications
Experience with cloud-based data platforms and big data technologies.
Knowledge of cheminformatics tools and toxicology ontologies and datasets (working with SEND formatted data).
Track record of publications in computational toxicology or related fields.
Domain Knowledge: Working knowledge of toxicology data, including chemical safety assessments and regulatory frameworks
Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.
PHYSICAL/MENTAL REQUIREMENTS
Ability to communicate clearly at internal and external meeting and across diverse teams. Office job involving computer use.
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS
Limited travel for internal R&D site visits and to attend national and international scientific meeting, consortia and training opportunities.
PHYSICAL/MENTAL REQUIREMENTS
Office job involving use of computer
Additional Information:
Relocation support available
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 Day to Apply: January 9, 2026
The annual base salary for this position ranges from $102,900.00 to $171,500.00. 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.
Sunshine Act
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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
