Summer Intern, Bioassays
The Position
The Bioassays Intern will support discovery research at Arrowhead Pharmaceuticals by contributing to a data-driven project aimed at improving the prediction of optimal cell lines for off-target assessment (OTA) screens. This internship will focus on building a comparative database linking RNA sequencing expression data with qPCR results to evaluate correlation and predictive value. The intern will gain hands-on experience in molecular biology techniques while working closely with scientists to generate data that may significantly accelerate bioassay timelines.
This is an 11-week Summer Internship Program paying $21.00 per hour and requires full-time, onsite work five days per week at the designated location.
Responsibilities
- Perform RNA isolations using good laboratory techniques
- Prepare cDNA libraries for downstream analysis.
- Perform real-time quantitative PCR (qPCR) assays.
- Analyze and organize experimental data using Microsoft Excel.
- Support cloning projects under the guidance of a research scientist.
- Perform basic laboratory tasks including pipetting, solution preparation, and general bench work.
- Present project updates in weekly group meetings.
- Prepare final deliverables, including a scientific poster and a ~20-minute presentation summarizing project objectives, results, and learning.
Requirements:
- Currently enrolled in a bachelor’s degree program at an accredited university or college and majoring in a scientific discipline such as Biochemistry, Biology, Chemistry, or Engineering.
- Previous laboratory experience and familiarity with basic lab techniques.
- Excellent verbal and written communication skills, including comfort presenting in group settings.
- Strong problem-solving and organizational skills.
- Proficiency in Microsoft Office applications.
- Ability to lift up to 40 lbs.
- Willingness and ability to spend 75% of the workday walking the facility and 25% at a desk.
Preferred:
- Prior laboratory experience, with emphasis on genetics or molecular biology.
- Familiarity with qPCR, RNA isolation, or gene expression analysis.
- Strong attention to detail and interest in data-driven biological research.
- Curiosity, enthusiasm for discovery science, and willingness to learn new approaches and techniques.