Summer Intern, Bioinformatics and Data Science

Assembly Biosciences, Inc. • South San Francisco, CA

1d • Hybrid

About The Position

A summer internship opportunity is available for an undergraduate student interested in applying computational and artificial intelligence/machine learning (AI/ML) methods to biological and chemical data in a drug discovery setting. The intern will work closely with a cross-functional team spanning bioinformatics, machine learning, chemistry, and biology. This intern will be paired with a dedicated mentor to guide the student through this process and be a full member of the team throughout the internship. The intern will also have plenty of opportunities for networking and career development through conversations with people across multiple roles and teams at Assembly Bio.

This role emphasizes hands-on experience with real datasets and exposure to modern computational pipelines used in early-stage therapeutic development.

Requirements

• Pursuing a degree in Bioinformatics, Computational Biology, Data Science, Computer Science, or related field
• Strong programming skills in Python and/or R
• Some familiarity with common bioinformatics tools and libraries (e.g., Bioconductor, Scanpy, Seurat, PyTorch, TensorFlow)
• Understanding of molecular biology concepts (e.g., gene expression, sequencing technologies)
• Experience with statistical analysis and data visualization
• Ability to work independently and in a collaborative environment

Nice To Haves

• Experience with single-cell data analysis, NGS pipelines, or cloud computing
• Exposure to machine learning or deep learning methods in biological contexts
• Familiarity with version control (e.g., Git)

Responsibilities

• Analyzing biological and chemical datasets (e.g., RNA-seq, single-cell, proteomics or screening data) using Python or R
• Supporting development, testing and optimization of bioinformatics, cheminformatics and AI/ML pipelines
• Documenting workflows and results in a reproducible manner
• Presenting findings in internal meetings and contributing to reports

Benefits

• Hands-on experience with real-world drug discovery datasets
• Exposure to interdisciplinary workflows bridging computation and biology
• Opportunity to contribute to impactful research in a fast-paced biotech environment

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed
• Number of Employees: 11-50 employees