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Intern - Development - Data Science

United States - California - Foster CityClinical Development & Clinical OperationsIntern
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Job Description

As a Gilead intern you will contribute to high-impact meaningful projects that will not only further advance our company’s mission but will allow you to gain real world experience at one of the most innovative organizations in the world. You will also have opportunities to participate in special events including professional development and leadership presentations, social/network building activities and local community volunteer programs.

We are seeking a highly motivated and intellectually curious technical intern to join our AI/ML team. This internship offers a unique opportunity to contribute to cutting-edge research and development at the intersection of Generative AI, natural language processing (NLP), knowledge graph construction, and biomedical data science.

As an intern, you will collaborate with experienced data scientists and engineers to build intelligent systems that extract, represent, and reason over biomedical knowledge. You’ll gain hands-on experience working with real-world data and advanced machine learning techniques, while contributing to impactful projects that support scientific discovery and innovation.

Key Responsibilities will include, but are not limited to the following:

  • Assist in the development and evaluation of NLP models for biomedical text mining.

  • Contribute to the construction and enrichment of biomedical knowledge graphs.

  • Explore and prototype generative AI applications for scientific literature and data.

  • Analyze structured and unstructured biomedical datasets to extract meaningful insights.

  • Collaborate with cross-functional teams to integrate AI solutions into research workflows.

  • Document findings, present results, and contribute to technical publications or internal reports.

  • Showcase your work with a final presentation (PPT) near the conclusion of your internship

Required Qualifications:

  • Must be at least 18 years old

  • Must have a minimum GPA of 2.8

  • Authorized to work in the United States without Sponsorship now or in the future or CPT/OPT through your University.

  • Must be currently enrolled as a full-time student in a Bachelor’s/Masters/PhD program at an accredited US based university or college

  • Must be a Rising Sophomore, Junior, or Senior in undergrad or a Graduate or Doctoral Student

  • Must be enrolled full-time in the Fall Semester at an accredited university/college after the completion of the internship

  • Must be able to complete a 10-12 consecutive week internship between May and August

  • Must be able to relocate if necessary and work at the designated site for the duration of the internship

Preferred Qualifications:

  • Currently pursuing a degree in Computer Science, Data Science, Bioinformatics, Computational Biology, or a related field.

  • Strong programming skills in Python and familiarity with ML libraries (e.g., PyTorch, TensorFlow, scikit-learn).

  • Experience or coursework in NLP, machine learning, or biomedical informatics.

  • Familiarity with knowledge graphs, ontologies, or semantic technologies is a plus.

  • Exposure to LLMs, transformers, or generative models.

  • Prior research or internship experience in AI/ML or biomedical domains.

  • Strong communication and collaboration abilities.

  • Proficiency with MS Office Suite.

  • Ability to identify issues and seek solutions.

  • Ability to work both independently and collaboratively.

  • Demonstrated commitment to inclusion and diversity in the workplace.

  • Efficient, organized, and able to handle short timelines in a fast-paced environment.

What You’ll Gain:

  • Mentorship from experienced AI/ML professionals.

  • Exposure to real-world applications of AI in biomedical research.

  • Opportunity to contribute to impactful projects with potential for publication.

  • A collaborative and inclusive work environment that values innovation and curiosity.

Gilead Core Values:

  • Integrity (Doing What’s Right)

  • Inclusion (Encouraging Diversity)

  • Teamwork (Working Together)

  • Excellence (Being Your Best)

  • Accountability (Taking Personal Responsibility)