Scientist Process Modelling

Posted 5 Hours Ago
Be an Early Applicant
Andover, MA
Hybrid
77K-129K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
We’re in relentless pursuit of breakthroughs that change patients’ lives.
The Role
Drive in silico modeling for bioprocess applications, enhance data exploration, improve drug manufacturing efficiency using modeling and data analytics, and prepare documentation for regulatory submissions.
Summary Generated by Built In

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 m echanistic 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


The annual base salary for this position ranges from $77,100.00 to $128,500.00. 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.
Research and Development
#LI-PFE

Top Skills

Matlab
Python
R
SQL

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The Company
HQ: New York, NY
121,990 Employees
Hybrid Workplace
Year Founded: 1848

What We Do

Our purpose ensures that patients remain at the center of all we do. We live our purpose by sourcing the best science in the world; partnering with others in the healthcare system to improve access to our medicines; using digital technologies to enhance our drug discovery and development, as well as patient outcomes; and leading the conversation to advocate for pro-innovation/pro-patient policies.

Why Work With Us

We are the inventors, the problem solvers, the big thinkers — those who surmount any hurdle to deliver breakthrough medicines to the people who are counting on them the most.

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Employees engage in a combination of remote and on-site work.

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