Bioinformatics Summer Intern

Position Overview

We are seeking a highly motivated Bioinformatics Summer Intern to support the development of RNA-seq data analysis pipelines and machine learning models for biomarker discovery and clinical diagnostics. This role is ideal for candidates interested in translational genomics AI in healthcare and next-generation diagnostics.

Schedule: 40hrs/week 12 weeks

Hourly rate: $35-$42.5/hr

Key Responsibilities

• Analyze RNA-seq datasets including preprocessing QC normalization and differential expression analysis
• Develop and optimize bioinformatics pipelines for transcriptomic data (bulk RNA-seq and/or 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 integration of large language models (LLMs) or multimodal AI approaches for biological data interpretation
• Collaborate with wet-lab scientists and cross-functional teams to interpret results and refine experimental design
• Present findings through reports visualizations and internal presentations

Qualifications :

Basic Qualifications

• 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 (e.g. R or Python)
• Familiarity with Linux/Unix environments and proficiency in bash scripting
• Formal training in statistics and machine learning

Preferred Qualifications

• Experience with machine learning frameworks (e.g. scikit-learn TensorFlow PyTorch)
• Experience building or applying deep learning models
• Familiarity with large language models (LLMs) or generative AI applications in biology
• Experience with NGS pipelines and tools (e.g. STAR Salmon nf-core etc.)
• Experience working in high-performance computing (HPC) or cloud environments
• Strong data visualization and communication skills

Additional Information :

What Youll Gain

• Hands-on experience working with cutting-edge RNA-seq datasets from clinical samples
• Exposure to real-world biomarker discovery and diagnostic development
• Mentorship from experienced scientists in bioinformatics and translational genomics
• Opportunity to contribute to impactful healthcare technologies

Remote Work :

No

Employment Type :

Intern