Bioinformatics Biology Intern

Summary

Join Caribou Biosciences, a leading clinical-stage CRISPR genome-editing biopharmaceutical company, as a Bioinformatics Intern! This hands-on role provides invaluable experience in developing and improving bioinformatics tools for cutting-edge cell therapies. You will contribute to projects involving AI/ML model implementation, CRISPR design optimization, and genomic data analysis. The internship offers mentorship from leading experts and the opportunity to contribute to high-impact publications and patents. The position is based in Berkeley, California, or remote, and reports to a Principal Bioinformatics Scientist. The internship is paid, offering professional development opportunities.

Requirements

• Ph.D in Biology, Bioinformatics, Computational Biology, or a related discipline
• Minimum 5 years of biotech industry experience (immuno-oncology preferred)
• Proficient in at least one general purpose programming language (R or Python preferred)
• Experience developing with workflow management software (e.g. Nextflow)
• Cloud-based data science experience (e.g. AWS)
• Experience in leveraging data science best practice tools: version control, collaborative analysis and documentation
• Experience with common NGS data processing tools and statistical analysis
• Knowledge of documentation procedures for clinical-grade software development
• Strong communication skills to foster collaboration in cross-functional teams

Responsibilities

• Develop bioinformatics algorithms for donor optimization
• Develop robust clinical bioinformatic pipelines to generate automated, reproducible, verifiable results
• Prepare high quality documentation to contribute to regulatory filings
• Collaborate with an interdisciplinary group of bioinformaticians, data scientists, and engineers to translate research into clinically actionable insights
• Occasionally support genomic pipeline development as needed
• Leverage internal and external data sources (i.e. IPD-IMGT) to provide actionable data-driven decision making
• Present, visualize and communicate scientific insights to internal stakeholders
• Provide expertise and technical consultation for internal collaborations

Preferred Qualifications

• Currently pursuing (or recently completed) a Bachelors , Master’s or Ph.D. in Biology, Bioinformatics, Computational Biology, Machine Learning/AI, or a related field
• Experience with Python or R for data analysis and modeling
• Foundation in statistics and biological data analysis
• Familiarity with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
• Knowledge of CRISPR editing technologies
• Familiarity with cloud computing (AWS) and workflow automation (Nextflow)
• Previous research experience in cell therapy, immunology, or synthetic biology

Benefits

• Range for this Paid full-time internship is $26/hour with a 2–3-month duration
• Professional development, networking, and mentorship opportunities
• A chance to work alongside some of the brightest minds in biotech