Summary

Perform immunoassays / clinical sample testing to support vaccine development programs in a GLP-compliant environment. Analyze assay data, troubleshoot performance, and contribute to assay development, qualification, and validation activities. Review clinical and nonclinical data to ensure accuracy, quality, and reliable study outcomes. Maintain critical assay materials, including reagents, controls, proficiency panels, and viruses, to support testing readiness. Collaborate across the team to meet project timelines and communicate assay progress, results, and key updates to project teams and leadership. Maintain required training and contribute to a culture of quality, teamwork, and continuous improvement.

Job description

What You Will Achieve

Perform immunoassays / clinical sample testing to support vaccine development programs in a GLP-compliant environment. Analyze assay data, troubleshoot performance, and contribute to assay development, qualification, and validation activities. Review clinical and nonclinical data to ensure accuracy, quality, and reliable study outcomes. Maintain critical assay materials, including reagents, controls, proficiency panels, and viruses, to support testing readiness. Collaborate across the team to meet project timelines and communicate assay progress, results, and key updates to project teams and leadership. Maintain required training and contribute to a culture of quality, teamwork, and continuous improvement.

Minimum Requirements

Bachelor's degree in a relevant scientific discipline w/ 0+ to 2 years of experience
Hands-on experience in a science laboratory
Strong attention to detail
Strong problem-solving and organizational skills
Ability to work independently and within a team
Ability to manage multiple tasks and priorities
Strong written and verbal communication skills
Proficiency with Microsoft Word, Excel, and PowerPoint
Experience using common AI tools, including generative technologies such as ChatGPT or Microsoft Copilot
Demonstrated curiosity for exploring how these tools can improve outcomes and understanding of responsible AI practices

Preferred Requirements

Pharmaceutical or vaccine research experience
Experience with functional antibody assays, or neutralization assays
Experience with assay development, troubleshooting, or clinical sample testing
Experience in regulated or high-throughput laboratory environments
Experience with automated liquid handling platforms, such as Bravo, Tecan, or similar systems
Experience with scientific data analysis or generative AI tools

Physical/Mental Requirements

Work in a lab environment for the majority of the workday
Work with various types of bodily fluids
Ability to lift racks/boxes up to 10 lbs

Requirements

Bachelor's degree in a relevant scientific discipline
0+ to 2 years of experience
Hands-on experience in a science laboratory
Strong attention to detail
Strong problem-solving and organizational skills
Ability to work independently and within a team
Ability to manage multiple tasks and priorities
Strong written and verbal communication skills
Proficiency with Microsoft Word, Excel, and PowerPoint
Experience using common AI tools such as ChatGPT or Microsoft Copilot
Understanding of responsible AI practices including risk management and ethical use

Benefits

401(k) Matching
Retirement Savings Contribution
Paid Vacation
Paid Holidays
Paid Personal Days
Paid Caregiver Leave
Paid Parental Leave
Paid Medical Leave
Medical Coverage
Prescription Drug Coverage
Dental Coverage
Vision Coverage
Annual Bonus Target 7.5%
Relocation Assistance

Company overview

The Pfizer Statistics Program represents the statistical and data sciences functions within Pfizer Inc., one of the world's premier biopharmaceutical companies. This specialized program encompasses both the statistical analysis capabilities that support Pfizer's drug development pipeline and the educational initiatives like the Breakthrough Fellowship Program that includes MS Statistics components. As part of Pfizer's Research & Development organization, the Statistics Program plays a critical role in clinical trial design, data analysis, regulatory submissions, and evidence generation for Pfizer's innovative medicines and vaccines. The program employs advanced statistical methodologies and data science techniques to ensure the scientific rigor and integrity of Pfizer's clinical research across therapeutic areas including oncology, internal medicine, immunology, and vaccines. Through its integration with Pfizer's global operations, the Statistics Program contributes to the company's mission of delivering breakthroughs that change patients' lives by providing robust statistical support from early discovery through post-marketing surveillance.