Genetic Identity R&D Intern: Forensic STR & AI Tools

Promega Corporation

Madison (WI)

On-site

USD 25,000 - 36,000

Full time

2 days ago
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Job summary

Promega Corporation in Madison, WI invites a Genetic Identity R&D Intern to join our team. You will work with a Senior Research Scientist on active STR system development, split time between the lab and the computer, and contribute to data analysis and AI tool development.

Ideal candidates are graduate students in genetics, molecular biology, or forensic science with hands-on lab experience, strong data skills, and a collaborative mindset.

Qualifications

  • Currently enrolled in graduate program in genetics or related field.
  • Hands-on laboratory experience.
  • Able to organize and analyze data with attention to detail.
  • Excellent verbal and written communication.
  • Familiar with digital tools including Microsoft applications and AI tools.

Responsibilities

  • Support STR development projects in lab and data analysis.
  • Prepare and run capillary electrophoresis samples.
  • Process genotyping data and compare to performance specs.
  • Develop AI-assisted analysis tools.
  • Document work in the electronic lab notebook and present results.
  • Communicate goals and results through reports and team presentations.
  • Help ensure compliance with Promega Quality System.

Skills

Strong communication skills
Data analysis
Laboratory techniques
Independent work
Digital tools and AI familiarity

Education

Graduate program in genetics, molecular biology, biochemistry, forensic science, or related field

Tools

PCR
Capillary electrophoresis
STR genotyping software
AI tools

Job description

Promega Corporation in Madison, WI invites a Genetic Identity R&D Intern to join our team. You will work with a Senior Research Scientist on active STR system development, split time between the lab and the computer, and contribute to data analysis and AI tool development.

Ideal candidates are graduate students in genetics, molecular biology, or forensic science with hands-on lab experience, strong data skills, and a collaborative mindset.

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