Bioinformatics & Data Science Intern — AI in Genomics

CareDx; Brisbane (CA); On-site; USD 45,000 - 65,000; Full time

Benefits offered by this job

Competitive base salary and incentive

Health and welfare benefits

401(k) match

Employee Stock Purchase Plan

Pre-tax commuter benefits

Job summary

CareDx is seeking a Bioinformatics/Data Science Intern to join the Data and AI team. You will develop and apply computational methods to analyze NGS and omics data for transplant-related diagnostics.

The role offers mentorship from senior bioinformaticians, exposure to real-world data products, and opportunities to contribute to AI-enabled analyses supporting clinical decisions. Duration is 10–12 weeks, 40 hours per week, paid at $40/hour.

Qualifications

• Bachelor's degree in Bioinformatics, Data Science, or related field.
• Proficiency with Python, R or similar.
• Experience analyzing NGS data (targeted sequencing, WGS/WES, RNA-seq).
• Familiarity with Linux, scripting, and Git.

Responsibilities

• Collaborate with scientists across R&D for experimental design, data analysis, and troubleshooting.
• Work with lab teams to apply bioinformatics methods and tools.
• Design, develop, and run pipelines for NGS and genomic data analysis.
• Evaluate performance of emerging platforms and assays.
• Maintain documentation of analyses, methods, and results.
• Present findings in team meetings and to collaborators.
• Expand computational biology and programming skills via projects and training.
• Identify data opportunities across transplant and cell therapy programs.

Skills

Python

R

NGS data analysis

Linux

Git

Education

Bachelor's degree in Bioinformatics or related field

Tools

Git

Job description

CareDx is seeking a Bioinformatics/Data Science Intern to join the Data and AI team. You will develop and apply computational methods to analyze NGS and omics data for transplant-related diagnostics.

The role offers mentorship from senior bioinformaticians, exposure to real-world data products, and opportunities to contribute to AI-enabled analyses supporting clinical decisions. Duration is 10–12 weeks, 40 hours per week, paid at $40/hour.