The Associate Data Scientist assists in leveraging data for business insights, automating processes, and collaborating with teams to enhance decision-making. Responsibilities include data wrangling, model operationalization, and presenting findings to stakeholders.
Use Your Power for Purpose
At Pfizer, the Associate Data Scientist is responsible to assist Pfizer's Data Management staff to leverage both internal and external data assets to deliver business insights, implement automation and Artificial Intelligence (AI) methods by collaborating with cross-functional teams within the organization with an overall goal of enhancing tactical and strategic decision making.
This role requires a good understanding of technical and business aspects of Data Science, Clinical Trial data, and Data Management. Exposure to Artificial Intelligence (AI) tools and techniques is a plus. Must be able to understand the analytical needs of business users, to translate the business needs into automation solutions. Requires full Data Science life cycle development experience, including data discovery, labelling the data, working with tech team(s) to create hypothesis, assist in selecting models, test and evaluate models and model operationalization. Should have a strong understanding of relational databases and Clinical Trial data to facilitate data wrangling, model operationalization, and exploration of data. Responsible for adhering to corporate reporting policy and controls to ensure the accuracy, timeliness and confidentiality of Data Management automation.
Data scientist must be able to drive tangible business value working under the direction of Lead for AI and Data Sciences by collaborating with Data Managers, Clinical Data Scientists, Client Partners and Information Management colleagues and external vendors.
ROLE RESPONSIBILITIES
General:
Qualifications
BASIC QUALIFICATIONS
PREFERRED QUALIFICATIONS
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS
Some nonstandard work hours to cover global meetings or travel.
Additional Information:
The annual base salary for this position ranges from $66,500.00 to $110,900.00. 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.
Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email [email protected] . This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.
Medical
At Pfizer, the Associate Data Scientist is responsible to assist Pfizer's Data Management staff to leverage both internal and external data assets to deliver business insights, implement automation and Artificial Intelligence (AI) methods by collaborating with cross-functional teams within the organization with an overall goal of enhancing tactical and strategic decision making.
This role requires a good understanding of technical and business aspects of Data Science, Clinical Trial data, and Data Management. Exposure to Artificial Intelligence (AI) tools and techniques is a plus. Must be able to understand the analytical needs of business users, to translate the business needs into automation solutions. Requires full Data Science life cycle development experience, including data discovery, labelling the data, working with tech team(s) to create hypothesis, assist in selecting models, test and evaluate models and model operationalization. Should have a strong understanding of relational databases and Clinical Trial data to facilitate data wrangling, model operationalization, and exploration of data. Responsible for adhering to corporate reporting policy and controls to ensure the accuracy, timeliness and confidentiality of Data Management automation.
Data scientist must be able to drive tangible business value working under the direction of Lead for AI and Data Sciences by collaborating with Data Managers, Clinical Data Scientists, Client Partners and Information Management colleagues and external vendors.
ROLE RESPONSIBILITIES
General:
- Assist the manager implement global strategies, initiatives, processes, and standards to ensure consistent, efficient, and quality Data Science processes to meet expected quality, timelines and deliverables.
- Run SQL queries to extract Operational, Clinical data and Specifications from various information systems.
- Able to independently assess and analyze data quality, understand business processes and how they impact data quality, prepare data including labelling of data for Machine Learning experiments.
- Able to pilot and build POC's to demonstrate and test business value of Machine Learning models, understand Model metrics, iteratively improve Model performance working with tech leads and vendors.
- Analyze, interpret, and summarize Machine Learning model results.
- Operationalize and maintain the models.
- Develop presentations and trainings for business users to increase understanding of AI, Data Science and automation within Data Management.
Qualifications
BASIC QUALIFICATIONS
- Bachelor's degree or above or equivalent experience in a scientific or business-related discipline required; Degree in Informatics, or Computer science, or Statistics, or related business degree with equivalent experience preferred.
- Works independently, receives instruction primarily on unusual situations.
- Ability to organize tasks, time and priorities; ability to multi-task.
- Ability to communicate with internal & external stakeholders, locally and globally.
- At least one to two years of experience with Clinical data, SQL, and Analytics.
PREFERRED QUALIFICATIONS
- Demonstrated experience with Python and/or R, SAS and Machine Learning models implementation.
- SQL experience with relational databases like Postgres or Oracle or Microsoft.
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS
Some nonstandard work hours to cover global meetings or travel.
Additional Information:
- Work Location Assignment: Hybrid ( This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week )
- Last Day to Apply: November 16, 2025
The annual base salary for this position ranges from $66,500.00 to $110,900.00. 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.
Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email [email protected] . This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.
Medical
Top Skills
Machine Learning
Microsoft
Oracle
Postgres
Python
R
SAS
SQL
Similar Jobs at Pfizer
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Provide administrative support to the leadership team, manage communications, budget tracking, onboarding, scheduling meetings, and special projects in the Data Science & Analytic Solutions team.
Top Skills:
ExcelMicrosoft TeamsMicrosoft WordOutlookPowerPoint
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Oversee and manage vaccine development teams, ensuring project milestones are met. Collaborate with cross-functional teams and develop strategies to maximize value. Requires deep project management and scientific knowledge.
Top Skills:
Drug Development KnowledgeProject Management Tools
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The Senior Director will lead digital health product strategy by integrating regulatory expertise and clinical insights to drive successful commercialization of digital medicine solutions.
Top Skills:
Digital Health TechnologiesDrug-Digital Integration
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

