As the world’s leading pharmaceutical company, Pfizer is in the unique position of having some of the largest and most complex chemical and biological data sets available anywhere. The computational Absorption, Distribution, Metabolism, and Excretion (cADME) group at Pfizer is responsible for maximizing the value of ADME, safety, and pharmacology data to support drug discovery project teams. We do this through the application of advanced machine learning and data mining methodologies to extract knowledge that is used to facilitate project team decision making across the drug discovery portfolio.
We are looking to add an outstanding and experienced cADME scientist to develop novel in silico tools, methodologies, and infrastructure for data mining, machine learning, and visualization. These approaches will be used to extract actionable information and knowledge from Pfizer’s chemical and biological databases.
Ph.D. with at least two years or equivalent experience in computational ADME, cheminformatics, scientific programming, machine learning, statistics, computational chemistry, computational biology, or a related discipline.
Demonstrated experience with an advanced programming language for analysis (e.g. Python, R, Java).
Demonstrated ability to independently develop and implement complex computational solutions to data mining and analysis problems.
Ability to build and interpret machine learning models of complex, high-dimensional systems.
Ability to work with incomplete or imperfect data to extract usable information.
Demonstrated proficiency in working with databases, web-based applications, and other information technology tools.
Highly self-motivated, results driven, and data driven. Ability to work in a fast-paced dynamic environment.
Track record of demonstrating personal leadership and the ability to influence stakeholders to gain support and traction for projects.
Skilled in clearly and concisely communicating, both oral and written, complex computational approaches and methodology to non-computational scientists and other stakeholders.
Demonstrated experience using machine learning/cheminformatics to guide drug discovery project teams and medicinal chemists.
Sound understanding of organic/medicinal chemistry.
Experience with ADME and/or Primary Pharmacology biology and science.
Experience with the application of 3D computational methods including pharmacophore modeling, QM calculations, and protein-ligand docking.
Sitting, ability to perform mathematical calculations and complex data analysis
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS
Relocation support available
Work Location Assignment: Flexible
Pfizer requires all U.S. new hires to be fully vaccinated for COVID-19 prior to the first date of employment. As required by applicable law, Pfizer will consider requests for Reasonable Accommodations.
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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.