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George Mason University
Job Opportunity

Biostatistician Intern - Commutable/Local Only at Life Science Cares

Full Job Details

Employer: Life Science Cares

Expires: 06/19/2026

This opportunity is available through Project Onramp, a program to help Pell-granted undergraduates gain access to paid summer internships, industry mentors, and early career training in the Life Sciences sector and related industries. We are partnered with 100+ companies across the country, and have placed 1,000 students in summer internships since 2019. You can read more about us here. PROJECT ONRAMP THIS PROGRAM HAS NO COST TO STUDENTS. IT IS FREE. Biostatistician Intern🚨 IMPORTANT ELIGIBILITY NOTE:  Applicants MUST permanently reside or ALREADY HAVE CONFIRMED HOUSING within a commutable distance of the facility. Housing/relocation is NOT provided. Location: Bridgewater, NJ (On-site)Duration: Summer 2026Compensation: $20.00 per hour The Corporate PartnerOur Corporate Partner is a pioneering, well-funded biotech firm operating the world’s first Integrated Development and Manufacturing Organization (IDMO) for advanced cell therapies. By taking an Industry 4.0 approach and leveraging end-to-end automation, they are drastically lowering manufacturing costs and accelerating global patient access to life-saving, living drugs. They are headquartered in California, with a brand-new, commercial-scale Smart Factory located in Bridgewater, New Jersey. The RoleOur partner is seeking an innovative and highly motivated Biostatistician Intern who is ready to learn from a hands-on, collaborative, and fast-paced environment. This individual will support the Analytical Science and Technology (ASAT) team by contributing to statistical analysis, data interpretation, and reporting for analytical method development, transfer, qualification, validation, and equivalency studies. This internship offers direct exposure to industry-standard quantitative tools, automated platform technologies, and regulatory practices. ResponsibilitiesStatistical Analysis & Method Validation: Assist in the statistical analysis of analytical data evaluating parameters like accuracy, precision, linearity, and comparability/equivalency assessments.Method Transfer Support: Support technical method transfer and comparability studies using statistical approaches, including early-read equivalency, %bias evaluation, and confidence intervals.SAPs & Technical Reporting: Contribute to the development of statistical analysis plans (SAPs) and the interpretation of acceptance criteria (e.g., EAC, TOST concepts). Generate tables, data figures, and summary statistics for technical protocols and reports.Cross-Functional Data Collaboration: Conduct exploratory data analysis to support risk assessments and process understanding. Partner closely with Quality Control, Automation, and Analytical Development teams to drive data-backed decision making. QualificationsEducation: Current undergraduates pursuing a degree in Biostatistics, Statistics, Bioinformatics, Bioengineering, Applied Mathematics, Data Science, or a related Quantitative Life Science discipline. Open to 2026 graduates.Technical Skills: Proven ability to work with large datasets and statistical software tools (such as JMP, R, or similar data science languages).Core Competencies: Clear communication of complex statistical results to cross-functional non-technical teams; strong attention to detail and data integrity; robust organizational and presentation skills; self-awareness, authenticity, and a growth mindset.Requirements: Must be a Pell Grant Recipient for the current academic year. Candidates must live within a commutable distance of the Bridgewater, NJ facility. How to ApplyVerify Pell Grant Status: Submit a screenshot of the Pell Grant section from your Financial Aid portal for the 2025-26 school year. You may black out dollar amounts. Submit Documentation: Send the screenshot and your resume (saved as a PDF titled “First Name Last Name”) via Handshake message or directly to kevin.nicholas@lifesciencecares.org. Virtual Intro Meeting: Once verified, you will be invited to a 30–35 minute video call to learn more about the Project Onramp program and share your background. This is a preliminary step.

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