Job Description

ROLE SUMMARY

A Senior Scientist (level R4) position is available in the Purification Process Development, Bioprocess R&D. This position will join a larger team of scientists across multiple sites focused on developing and optimizing manufacturing processes for recombinant proteins and biological macromolecules for early- and late-phase clinical trials. The position will work across the Bioprocess R&D organization to characterize manufacturing processes using various in-silico tools such as statistical or mechanistic models and application of data science.

ROLE RESPONSIBILITIES

* Drive the growth of digital technologies at Pfizer for applications in process development
* Contribute to enhancing the ability to efficiently deliver a better exploration and utilization of the process data
* Code and create statistical and mechanistic models to characterize and provide expanded understanding of drug substance manufacturing processes
* Design and assist in the execution of laboratory studies
* Provide expanded analysis and understanding of laboratory results with the application of data sciences
* Improve the efficiency and quality of product development through utilization of scientific software, novel visualization tools, automated data provisioning pipelines
* Author reports, papers and prepare oral presentations for internal and external audiences
* Assist in authoring and review of regulatory submissions

BASIC QUALIFICATIONS

* Bachelors degree with 9+ years of experience OR
* Masters degree with 7 years of experience OR
* Ph. D. with 0-4 years of experience in biotechnology, engineering, data science, statistics, computer science, or related fields
* Familiarity with bioprocess development and regulatory requirements
* Experience with data analysis and modeling methods particularly in their application to bioprocess system engineering
* Experience in advances data analytics, machine learning methods, and software that provide new ways to build models, diagnose problems, and make informed decisions for biopharmaceutical processes.
* Strong statistics and programming background with proven experience delivering on data science, applications of machine learning a plus
* Experienced in development and application of novel algorithmic approaches to optimize processes and/or accelerate data-driven decisions.
* Experience in data mining, visualization, integration, and development of multivariate models in the bioprocess R&D context.
* Proficient in MATLAB, SQL, Python, and R
* Applicants should be bright, organized, self-motivated, and capable of working independently, and in a collaborative environment.
* Possess strong oral and written communication skills. Strong analytical and computer skills are required.

PREFERRED QUALIFICATIONS

* Experience in handling structured and non-structured data, computing infrastructures and open-source analytics tools, e.g. TensorFlow or PyTorch
* Familiarity with process analytical technologies
* Familiarity regulatory concepts

PHYSICAL/MENTAL REQUIREMENTS

Work will be performed in a typical development laboratory environment and in GLP/GMP manufacturing facilities including the operations areas of pilot plants.

NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS

Occasional weekend work and travel to support clinical manufacturing.

Other Job Details:

* Last Day to apply: March 15, 2021
* Eligible for Employee Referral Bonus
* LI-PFE

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 providers 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.

Research and Development

LI-PFE