Sr Associate Scientist Process Modelling

Pfizer, S.A. de C.V; Andover (MA); On-site; USD 66,000 - 111,000; Full time

Job summary

An established industry player is seeking a talented individual to drive in silico modeling for bioprocess applications. In this role, you will leverage your expertise in data analysis, machine learning, and statistical modeling to enhance drug substance manufacturing processes. You will be part of a dynamic team dedicated to delivering breakthroughs that improve patient lives. With a focus on innovation, you will design laboratory studies and utilize advanced software tools to optimize processes. Join a forward-thinking organization that values your contributions and offers a collaborative environment for professional growth.

Benefits

401(k) plan with matching contributions

Paid vacation and holidays

Medical, dental, and vision coverage

Paid parental leave

Health benefits

Comprehensive benefits programs

Qualifications

• Experience in data analysis and modeling methods for bioprocess systems.
• Strong statistics and programming background with proven data science project experience.
• Familiarity with regulatory requirements and bioprocess development.

Responsibilities

• Drive growth of in silico modeling for bioprocess applications.
• Enhance ability to explore and utilize process data efficiently.
• Design and execute laboratory studies, applying mechanistic modeling.

Skills

Data Analysis

Machine Learning

Statistical Modeling

Programming (Python, MATLAB, SQL, R)

Bioprocess Development

Data Visualization

Education

Bachelor's Degree

Master's Degree

Associate's Degree

High School Diploma

Tools

Python

MATLAB

SQL

R

Job description

We’re in relentless pursuit of breakthroughs that change patients’ lives. We innovate every day to make the world a healthier place.

To fully realize Pfizer’s purpose – Breakthroughs that change patients’ lives – we have established a clear set of expectations regarding “what” we need to achieve for patients and “how” we will go about achieving those goals.

Pfizer Global Supply proudly shoulders the responsibility of manufacturing and distributing our wide-ranging pharmaceutical products.

Pfizer offers competitive compensation and benefits programs designed to meet the diverse needs of our colleagues.

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 2 years of experience; OR a Master's degree with 0+ years of experience; OR an Associate's degree with 6 years of experience; OR a high school diploma (or equivalent) and 8 years of relevant 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 m echanistic model development of biological systems including but not limited to unstructured and structured kinetic models for all bioprocess operations

Experience with cell culture and/or bacterial fermentation data

Experience in data mining, visualization, integration, and development of multivariate models in the bioprocess context.

Proficient in Python, MATLAB, SQL, and R

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
• Demonstrated organization skills, self-motivated, and capable of working independently, and in a collaborative environment.

Possess strong oral and written communication skills.

Strong analytical and computer skills

Non-Standard Work Schedule, Travel, or Environment Requirements

• This role is standard day Monday through Friday work shift. 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)

Other Job Details:

• Last day to Apply: May 19th, 2025
• Eligible for Relocation Assistance: No

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 2 years of experience; OR a Master's degree with 0+ years of experience; OR an Associate's degree with 6 years of experience; OR a high school diploma (or equivalent) and 8 years of relevant 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 m echanistic model development of biological systems including but not limited to unstructured and structured kinetic models for all bioprocess operations

• Experience with cell culture and/or bacterial fermentation data

• Experience in data mining, visualization, integration, and development of multivariate models in the bioprocess context.

• Proficient in Python, MATLAB, SQL, and R

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
• Demonstrated organization skills, self-motivated, and capable of working independently, and in a collaborative environment.

• Possess strong oral and written communication skills.

• Strong analytical and computer skills

Non-Standard Work Schedule, Travel, or Environment Requirements

• This role is standard day Monday through Friday work shift. 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)

Other Job Details:

• Last day to Apply: May 19th, 2025
• Eligible for Relocation Assistance: No
• Work Location Assignment:on site

The annual base salary for this position ranges from $66500,00 to $110900,00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 7,5% of the base salary. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.

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.

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