Bioinformatics Summer Intern

About the role#

Fapon is seeking a Bioinformatics Summer Intern to support the development of RNA-seq data analysis pipelines and machine learning models for biomarker discovery and clinical diagnostics. This full-time, paid internship is designed for individuals interested in translational genomics, AI in healthcare, and next-generation diagnostics. You will collaborate with wet-lab scientists and cross-functional teams to interpret results and refine experimental design, while presenting findings through reports and internal presentations.

What you'll do#

• Analyze RNA-seq datasets, including preprocessing, QC, normalization, and differential expression analysis.
• Develop and optimize bioinformatics pipelines for transcriptomic data, including bulk RNA-seq and degraded RNA samples.
• Apply machine learning and statistical methods to identify diagnostic or predictive biomarkers.
• Assist in building and evaluating predictive models, including deep learning approaches.
• Explore the integration of large language models (LLMs) or multimodal AI approaches for biological data interpretation.

What you'll need#

• Current PhD student, recent PhD graduate, or postdoctoral researcher in Bioinformatics, Computational Biology, Biology, or a related field.
• Hands-on experience with RNA-seq data analysis.
• Strong programming skills in at least one language, such as R or Python.
• Familiarity with Linux/Unix environments and proficiency in bash scripting.
• Formal training in statistics and machine learning.
• Relevant academic background in Biology, Computer Science, Biomedical Engineering, or Computer Engineering.

Location & details#

• Location: Pleasanton, California.
• Term: Summer 2026.
• Modality: On-site.
• Employment type: Full-time intern.