Computational ADME Scientific Programmer

Why Patients Need You

Everything we do, every day, is in line with an unwavering commitment to the quality and the delivery of safe and effective products to patients. Our science and risk-based compliant quality culture is flexible, innovative, and customer oriented. Whether you are involved in development, maintenance, compliance or analysis through research programs, your contribution will directly impact patients.

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 generated to support drug discovery project teams. We do this through the application of advanced data mining and machine learning methodologies to extract knowledge that is used to facilitate project team decision making across the drug discovery portfolio.

The cADME group is looking to add an outstanding computational engineer to help develop and maintain novel in silico tools, methodologies, and infrastructure for data mining and visualization. The successful candidate’s primary focus will be on choosing optimal software, architectural, and scientific solutions for these purposes and then implementing, maintaining, and monitoring them.

Qualifications

Must-Have

• BA/BS or MBA/MS in a relevant field (Computer Science, Statistics, Physics, Mathematics, Chemistry, etc.)

• BA/BS with 4+ years of experience OR MS with 2+ years of experience.

• Strong proficiency with an advanced programming language (Python, Java, etc.)

• Demonstrated experience in implementing software and hardware solutions to computational problems

• Understanding of basic statistical principles

• Ability to effectively work with multiple groups and diverse skill sets

• Skilled in clearly and concisely communicating complex computational approaches and methodology to non-computational scientists and other stakeholders

Nice-to-Have

• Demonstrated ability to independently implement computational workflows starting from raw data through processing, analysis, and visualization

• Experience planning and implementing hardware acquisitions to support custom developed applications and databases

• Proficiency in working with relational and/or NoSQL databases (Couchbase, MongoDB)

• Familiarity with basic system monitoring tools (Nagios, Ganglia) and system administration tools (rpm, yum, pip)

• Comfortable deploying and maintaining applications in the Linux environment (Red Hat preferred) using both graphical and CLI interfaces

• Experience with the integration and visualization of complex datasets of various sizes

• Experience with cheminformatics methods/techniques (computational structure handling and manipulation, descriptor calculation, similarity, etc.)

• Knowledge of linear and non-linear statistical modeling methodologies for machine learning (Random Forests, Deep Learning, PLS, Lasso, Boosting, etc.)

PHYSICAL/MENTAL REQUIREMENTS

• Lifting, sitting, walking, bending, ability to perform mathematical calculations, and ability to perform complex data analysis

NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS

Occasional travel

Other Job Details:

• Last Date to Apply for Job: July 5th, 2022

• Relocation support available

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.

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.