Biometrics Intern

Austin Community College; New Jersey; On-site; USD 22,730 - 32,373; Part time

Job summary

A community college is offering a paid internship for a Biometrics Intern in Parsippany, NJ. This position focuses on clinical trial methodologies, data analysis, and statistical modeling. Candidates must be rising Juniors or Seniors currently enrolled in relevant fields with a minimum GPA of 3.0 and must have received a Pell Grant. Responsibilities include exploratory analysis, data visualization, and safety analytics. This is an on-site role with a compensation of $20.00 per hour.

Qualifications

• Must be a rising Junior or Senior with a minimum GPA of 3.0.
• Must be a Pell Grant Recipient for the current academic year.
• Must live within a commutable distance of Parsippany, NJ.

Responsibilities

• Link clinical outcomes with biological markers by dataset cleaning.
• Organize pharmacokinetic data and perform preliminary analyses.
• Run statistical simulation studies and assess model performance.
• Develop interactive dashboards for clinical datasets interpretation.
• Identify patterns in adverse event datasets using statistical techniques.

Skills

Data analysis

Statistical modeling

Data visualization

Communication skills

Education

Currently enrolled in Statistics, Biostatistics, Math, Data Science, Public Health, or Bioinformatics

Job description

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 1000 students in summer internships since 2019.

THIS PROGRAM HAS NO COST TO STUDENTS. IT IS FREE.

Intern, Biometrics & Clinical Analytics

Location: Parsippany, NJ (100% On-site)

Duration: June 8 – August 7, 2026

Compensation: $20.00 per hour

The Corporate Partner

Our Corporate Partner is a pioneer in non-opioid pain management and regenerative health solutions. They are dedicated to next-generation innovations for chronic, postsurgical, and musculoskeletal pain, with a mission-driven culture focused on helping patients recover faster through integrity and collaborative science.

The Role

Seeking a motivated Biometrics Intern to join the team in Parsippany. You will gain hands‑on experience in clinical trial methodologies, assisting with in-depth biomarker correlation analyses and quality of life measures to support drug development analytics.

Responsibilities

• Exploratory Analysis: Link clinical outcomes with biological markers, including dataset cleaning and correlation assessments.
• PK/PD Support: Organize pharmacokinetic data and perform preliminary exposure–response analyses.
• Statistical Modeling: Run simulation studies and assess model performance metrics for internal guidance.
• Data Visualization: Develop interactive dashboards and dynamic plots to help teams interpret clinical datasets.
• Safety Analytics: Identify potential patterns in adverse event datasets using statistical techniques.

Qualifications

• Education: Rising Junior or Senior currently enrolled in Statistics, Biostatistics, Math, Data Science, Public Health, or Bioinformatics. Minimum GPA 3.0.
• Requirements: Must be a Pell Grant Recipient for the current academic year.
• Location: Must live within a commutable distance of Parsippany, NJ.

If the commuting time/distance is possible for you, then don’t let the cost of the commute be an automatic barrier. Project Onramp can help cover the cost of the commute. Contact Kevin Nicholas to discuss: [e-mail].

How to Apply

• Verify Pell Grant Status: Submit a screenshot of the Pell Grant section from your Financial Aid portal for the current school year. You may black out dollar amounts.
• Submit Documentation: Send the screenshot and your resume (saved as a PDF) via Handshake message or to [e-mail].
• 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 before corporate partner interviews.