2026 Summer Intern - Regev Lab - Decoding Genetic Circuitry
About The Position
Regev lab is seeking a talented and highly motivated intern with a strong computational and analytical background in computational biology. This project aims to decode the genetic circuitry of human immune cells by analyzing high-dimensional perturbation datasets. This internship position is located in South San Francisco, on-site. By applying rigorous statistical methods, the research focuses on interpreting and analyzing cell states to determine how genetic interventions drive phenotypic shifts. A key objective is to relate transcriptomic profiles to broader biological contexts, bridging the gap between gene expression and functional outcomes to map the rules governing immune cell behavior. Program Highlights Intensive 12-weeks, full-time (40 hours per week) paid internship. Program start dates are in May/June 2026. A stipend, based on location, will be provided to help alleviate costs associated with the internship. Ownership of challenging and impactful business-critical projects. Work with some of the most talented people in the biotechnology industry.
Requirements
- Must be pursuing a Master's Degree (enrolled student).
- Must be pursuing a PhD (enrolled student).
- Computational Biology, Bioinformatics, Systems Biology, or Bioengineering.
- Analyze High-Dimensional Perturbation Data: Interrogate large-scale genetic screens (e.g., Perturb-seq) to map the landscape of gene function and regulatory networks.
- Apply Statistical Frameworks: Utilize rigorous quantitative approaches to identify robust gene expression programs and relate these transcriptomic patterns to broader spatial or genomic contexts.
- Drive Data-Informed Validation: Collaborate closely with interdisciplinary teams to translate computational findings into actionable experimental targets, helping to prioritize specific hits for follow-up and functional characterization.
Nice To Haves
- Excellent communication, collaboration, and interpersonal skills.
- Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.
Responsibilities
- Analyze High-Dimensional Perturbation Data: Interrogate large-scale genetic screens (e.g., Perturb-seq) to map the landscape of gene function and regulatory networks.
- Apply Statistical Frameworks: Utilize rigorous quantitative approaches to identify robust gene expression programs and relate these transcriptomic patterns to broader spatial or genomic contexts.
- Drive Data-Informed Validation: Collaborate closely with interdisciplinary teams to translate computational findings into actionable experimental targets, helping to prioritize specific hits for follow-up and functional characterization.
Benefits
- paid holiday time off benefits
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Intern
