Computational Biology Intern

Cambridge, MA

Internship

Student (College)

We are seeking a qualified intern candidate to join our computational biology team on a 3–6-month project. This individual will have prior artificial intelligence “AI” and machine learning “ML” experience working with large data sets on a biological problem within the drug development lifecycle. You will be given the opportunity to contribute to Garuda’s groundbreaking work while learning different drug genomic integrity principles. This is a 40-hour per week paid internship position that will begin in May 2025 and duration can be up to 6 months.

Role and Responsibilities:

Develop and apply AI/ML models for analyzing genomic, transcriptomic, and epigenomic data to assess stem cell stability and drug product integrity.
Manage and curate large datasets, ensuring data integrity and accessibility.
Interpret results and provide actionable insights to support ongoing research projects.
Develop, maintain, and optimize bioinformatics pipelines for data processing and analysis.
Ensure pipelines are scalable, efficient, and reproducible.
Work closely with biologists, clinicians, and other researchers to understand their bioinformatics needs and provide appropriate solutions.
Communicate findings through written reports and presentations.
Participate in team meetings and contribute to the planning and execution of research projects.
Assist on AWS based S3 to S3 and SFTP transfers of big data.

Qualifications:

Must be enrolled in either a Master’s or PhD degree program with a focus in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related field.
Strong experience in machine learning, deep learning (TensorFlow or PyTorch or Scikit-learn), and computational biology is required.
Familiarity with AWS and cloud-based bioinformatics solutions is required.
Proficiency in programming languages such as Python, R, and Bash is preferred.
Prior research experience in stem cell (ideally iPSC) genomics or computational drug discovery is preferred
Experience in developing AI-driven variant classification models and knowledge of graph-based or transformer models for genomic data analysis is also preferred.

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Garuda Therapeutics, Inc.

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Computational Biology Intern

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