Flow Cytometry Intern: Immunology & Analytics Development

BioNJ Inc.; New Jersey; On-site; USD 25,000 - 34,000; Part time

Job summary

Legend Biotech in Somerset, NJ is seeking an Intern, FFBA Analytical Development to support the development of flow cytometry-based methods to assess cellular metabolism in immune and engineered cell products. You will design experiments, optimize staining panels, and document results under mentorship from senior scientists.

This closely mentored role emphasizes collaboration, multiparametric data analysis, and accurate electronic notebook entries.

Qualifications

• Must be an undergraduate or master's student in related sciences.
• Experience with flow cytometry is preferred.
• Strong analytical thinking and communication skills are essential.
• Attention to detail and scientific curiosity are important.

Responsibilities

• Collaborate with scientists to identify pain points in the electronic sample ascension process.
• Develop and draft procedures to streamline sample data and test reporting.
• Observe and assist with routine testing of non-critical samples.
• Perform routine laboratory activities, like equipment calibration, cleaning, and general laboratory upkeep.
• Assist in creating accurate Electronic Laboratory Notebook entries and LIMS templates.
• Role is closely mentored with decisions made in collaboration with senior scientists.

Skills

Analytical thinking

Attention to detail

Scientific curiosity

Effective communication

Microsoft Office

GraphPad Prism

PowerBI

JMP

R

Education

Immunology

Cell Biology

Molecular Biology

Biomedical Engineering

Biochemistry

Biotechnology

Tools

Flow cytometry

Mammalian cell culture

Fluorescence-based assays

Job description

Legend Biotech in Somerset, NJ is seeking an Intern, FFBA Analytical Development to support the development of flow cytometry-based methods to assess cellular metabolism in immune and engineered cell products. You will design experiments, optimize staining panels, and document results under mentorship from senior scientists.

This closely mentored role emphasizes collaboration, multiparametric data analysis, and accurate electronic notebook entries.