Machine Learning / Clinical AI Summer Internship at CareDx, Inc.

Brisbane, California, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Jun, 26

Salary

30.0

Posted On

05 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Large Language Models, Clinical Data, Unstructured Data, Information Extraction, Classification, Entity Tagging, Summarization, Data Analysis, Data Preprocessing, OCR, NLP, Model Evaluation, Python, PyTorch, TensorFlow

Industry

Biotechnology Research

Description

CareDx, Inc. is a leading precision medicine solutions company focused on the discovery, development, and commercialization of clinically differentiated, high-value healthcare solutions for transplant patients and caregivers. CareDx offers products, testing services, and digital healthcare solutions along the pre- and post-transplant patient journey, and is the leading provider of genomics-based information for transplant patients. This internship is designed as an immersive, learning‑driven experience for students who want to deepen their skills in machine learning and large language models (LLMs) while working with real-world healthcare data. As a Machine Learning Intern, you’ll contribute to applied AI projects that involve unstructured clinical information— ranging from free‑text notes to PDFs and image‑based medical records. You’ll collaborate closely with data scientists, engineers, and clinical experts, gaining exposure to the full lifecycle of healthcare AI systems and the practical challenges of building models in a highly impactful domain. This role is ideal for someone eager to grow, experiment, and learn from experienced mentors. As part of the internship, you will also get a chance to deliver and present a small project that showcases your technical contributions and learnings. Responsibilities Assist with applying machine learning and LLM-based methods to unstructured clinical data such as clinical notes, PDFs, and scanned documents. Support information extraction tasks including classification, entity tagging, summarization, and basic data analysis under guidance from senior team members. Help prepare and preprocess text, PDF, and image data for modeling, including data cleaning and organization. Assist with building and maintaining simple pipelines that incorporate OCR and NLP tools for document processing. Participate in testing and evaluating model outputs using predefined metrics and evaluation frameworks. Collaborate with data scientists, engineers, and clinical stakeholders to understand clinical workflows and modeling goals. Clearly document experiments, results, and observations for internal sharing and knowledge transfer. Follow data privacy, security, and compliance requirements when working with healthcare data. Qualifications Currently pursuing a bachelor's degree in computer science, Data Science, Biomedical Engineering, Artificial Intelligence, or related field. Coursework or academic projects in machine learning, data science, or artificial intelligence. Programming experience in Python and familiarity with foundational ML libraries (e.g., PyTorch, TensorFlow, scikit‑learn, Hugging Face). Introductory understanding of natural language processing concepts. Interest in healthcare, clinical data, or biomedical applications of AI. Openness to feedback, enthusiasm for learning, and a collaborative mindset. Preferred Qualifications Class projects or internship experience working with unstructured data such as text, PDFs, or images. Exposure to OCR tools, document processing, or basic computer vision concepts. Familiarity with large language models through coursework, projects, or experimentation. Interest in healthcare or biomedical data (prior domain knowledge not required). Strong organization and communication skills. CareDx, Inc. is an Equal Opportunity Employer-vets/disabled, and participates in the E-Verify program. By proceeding with our application and submitting your information, you acknowledge that you have read our U.S. Personnel Privacy Notice and consent to receive email communication from CareDx. ***We do not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us.*** Certain jurisdictions require notice of how we use and protect your personal information. For more information, please read our Privacy Policy This is the anticipated base salary range for candidates who will work in Brisbane, California. The final salary offered to a successful candidate will be dependent on several factors that may include, but are not limited to, the type and length of experience within the job, the type and length of experience within the industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and restricted stock units. CareDx is a multi-state employer, and this salary range may not reflect positions that work in other states. San Francisco Bay Area Roles: $25—$30 USD

Responsibilities

Assist with applying machine learning and LLM-based methods to unstructured clinical data like notes, PDFs, and scanned documents, supporting tasks such as classification, entity tagging, and summarization. Responsibilities also include preparing data for modeling, building simple document processing pipelines, and collaborating with stakeholders to understand goals.