Postdoctoral Fellow - Cheminformatics New Approach Methodologies for Impurities

Role Summary

We are excited to announce a postdoctoral fellow opportunity to join Pfizer’s Drug Safety Research and Development group at the Groton, CT site. This role will develop and apply computational chemistry and toxicology methods for assessing small molecule impurities to identify and quantify risks. They will use read-across, chemical feature selection, and ML/AI methods to develop frameworks and provide methods for evaluating structures. Progress in this space will be driven by sound scientific arguments expressed through external publications, presentations, and software releases. This role will interact with a diverse team both internal and external with the goal of influencing both internal and external processes for impurity risk management. An ideal candidate will have a strong background in chemistry, cheminformatics, and an interest in interacting with regulatory processes.

Responsibilities

• Develop, validate, and apply new approach methods for impurities
• Implement python and/or R workflows to assess impurities and communicate actions including APIs and web apps
• Collaborate with toxicologists, data scientists, and informatics teams to integrate in-silico, in-vitro, and in-vivo results into frameworks
• Communicate findings through reports, presentations, publications, and software packages both internally and externally to influence key stakeholders and regulatory processes

Qualifications

• Ph.D. in Computational Chemistry/Toxicology or related field
• Willingness to make a minimum 2-year commitment (fixed-term position)
• No more than 2 years of post-degree experience
• Successful record of scientific publications with at least one first-author manuscript published or submitted for publication in a peer-reviewed journal
• Expertise in Python and/or R for data analysis
• Domain knowledge in small molecules and interactions with biological systems
• Proficiency with cheminformatics toolkits (e.g. rdkit, openeye)
• Experience with read across and chemical similarity methods
• Understanding of regulatory frameworks for impurities

Skills

• Chemistry and cheminformatics expertise
• Data analysis using Python and/or R
• Communication of complex scientific concepts to diverse stakeholders
• Collaborative work with cross-functional teams

Education

• Ph.D. in Computational Chemistry/Toxicology or related field

Additional Requirements

• Relocation support available
• Work Location Assignment: Hybrid
• Ability to perform mathematical calculations and complex data analysis