Biometrics Intern at Life Science Cares

Wayne State University

New Jersey

On-site

USD 22,730 - 32,373

Part time

14 days+
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Job summary

A notable educational institution is offering a paid internship in Biometrics & Clinical Analytics in Parsippany, NJ. This role is ideal for rising juniors or seniors studying fields such as Statistics or Data Science. You'll work on clinical trial methodologies and statistical analyses while earning $20 per hour. Applicants must be Pell Grant recipients with a minimum GPA of 3.0 and must be located within a commutable distance to the site.

Qualifications

  • Minimum GPA 3.0 required.
  • 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 through exploratory analysis.
  • Organize pharmacokinetic data and perform preliminary exposure–response analyses.
  • Run simulation studies and assess model performance metrics.
  • Develop interactive dashboards and dynamic plots for data interpretation.
  • Identify potential patterns in adverse event datasets.

Education

Rising Junior or Senior 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: kevin.nicholas@lifesciencecares.org.

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 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 before corporate partner interviews.
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