Intern Research Student Np - Sanna Lab (Computational)

Scripps Research • San Diego, CA

6d

About The Position

This non-paid internship provides hands-on experience in computational neuroscience and bioinformatics within a collaborative academic research laboratory at Scripps Research. The intern will support analysis of single-nucleus RNA sequencing (snRNA-seq) and related genomic datasets to investigate molecular mechanisms underlying alcohol and drug abuse, neuroHIV, and neurological and psychiatric disorders.

The intern will receive training in data quality control, cell-type identification, differential gene expression, pathway analysis, and gene regulatory network analysis. Depending on the project, the intern may use algorithms such as ARACNe3 and NaRnEA to investigate regulatory networks and identify potential therapeutic targets. The experience is intended to build practical skills in programming, statistical analysis, scientific visualization, and broader research processes.

The opportunity is intended for undergraduate students interested in neuroscience, bioinformatics, computer science, statistics, biomedical sciences, or related fields. Some experience with R or Python is helpful; prior experience with the specialized algorithms is not required. The internship is temporary, up to 40 hours per week, and requires enrollment in an academic program and course credit for work at Scripps Research. Students may intern only while the course is in session, and the credit must be for a defined period. Proof of credit and an Unpaid Intern MOU are required.

Requirements

• Must be currently enrolled in an academic program and receive course credit for work at Scripps Research; proof is required.
• Course credit must be for a defined period and cannot be open-ended.
• May intern only while the course is in session.
• Proof of school credit must include the student's name, course name, and the course start and end dates; acceptable proof includes a school letter or screenshot of the student's class schedule.
• An Unpaid Intern MOU is required.

Nice To Haves

• Interest in neuroscience, bioinformatics, computer science, statistics, biomedical sciences, or a related field.
• Some experience with R or Python is helpful.
• Prior experience with ARACNe3, NaRnEA, or other specialized algorithms is not required.

Responsibilities

• Support analysis of single-nucleus RNA sequencing (snRNA-seq) and related genomic datasets.
• Participate in research investigating molecular mechanisms underlying alcohol and drug abuse, neuroHIV, and neurological and psychiatric disorders.
• Receive training in data quality control, cell-type identification, differential gene expression, pathway analysis, and gene regulatory network analysis.
• Depending on the project, use algorithms such as ARACNe3 and NaRnEA to investigate regulatory networks and identify potential therapeutic targets.

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed