Scientist Process Modelling
USA - MA - Andover, United States
Use Your Power for Purpose
At Pfizer, our purpose is to deliver breakthroughs that change patients’ lives. Your contributions will directly impact the development of new therapies and vaccines, ultimately improving the lives of patients around the world. By leveraging cutting-edge design and process development capabilities, you will help accelerate the delivery of best-in-class medicines to patients globally.
What You Will Achieve
In this role, you will:
Drive the growth of in silico modeling at Pfizer for bioprocess applications in the Manufacturing Sciences and Technology (MSAT) group.
Enhance the ability to efficiently explore and utilize process data.
Identify projects where the use of statistical and mechanistic models can characterize and provide a deeper understanding of drug substance manufacturing processes, adding value to the organization.
Design and assist in the execution of laboratory studies
Apply mechanistic modeling, machine learning and statistical modeling to provide expanded analysis and understanding of laboratory results.
Improve the efficiency and quality of drug substance processes through the use of scientific software, novel visualization tools, and automated data provisioning pipelines.
Author reports and papers and prepare oral presentations for both internal and external audiences.
Assist in the authoring and review of regulatory submissions.
Here Is What You Need (Minimum Requirements)
Applicant must have a bachelor's degree with at least 6 years of experience OR a master's degree with more than 4 years of experience.
Familiarity with bioprocess development and regulatory requirements
Experience with data analysis and modeling methods particularly in their application to bioprocess systems engineering
Experience in advanced data analytics, machine learning methods, and building 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 projects, experience in applications of machine learning a plus
Proficient in mechanistic model development of biological systems including but not limited to unstructured and structured kinetic models for all bioprocess operations (required)
Experience with cell culture and/or bacterial fermentation data (required)
Experience in data mining, visualization, integration, and development of multivariate models in the bioprocess context.
Proficient in Python, MATLAB, SQL, 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.
Bonus Points If You Have (Preferred Requirements)
Prior experience developing and maintaining in-silico models of biopharmaceutical processes and unit operations
Prior experience in developing and deploying commercially relevant in silico models for the optimization of bioprocessing operations
Familiarity with regulatory filings, cGMP requirements and operational constraints
Prior experience in building data and model dashboards for in-silico models in bioprocessing applications.
Experience with control and data acquisition systems
Demonstrated experience developing or introducing new technology into commercial processes
Experienced in development and application of novel algorithmic approaches to optimize processes and/or accelerate data-driven decisions.
Experience with processing and interpreting large data sets
PHYSICAL/MENTAL REQUIREMENTS
Prolonged sitting/use of computers
May also involve typical bioprocessing lab activities
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS
Schedule is first shift, Monday - Friday.
May require some out of hours working to support laboratory work or participation in teleconferences with other global sites.
Some travel may be required, but is not expected to be a standard aspect of role (<5% time)
Work Location Assignment: On Premise
OTHER JOB DETAILS
- Last Date to Apply for Job:
- Referral Bonus Eligibility: YES
- Eligible for Relocation Package: NO
Relocation assistance may be available based on business needs and/or eligibility.
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. This position requires permanent work authorization in the United States.
Research and Development#LI-PFETags: Data analysis Data Analytics Data Mining Engineering Machine Learning Matlab ML models Pipelines Python R Research SQL Statistical modeling Statistics
Perks/benefits: Career development Health care Medical leave Parental leave Relocation support Salary bonus
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