Gilead Sciences · 1 day ago
Intern - Development - Data Science
Gilead Sciences is dedicated to creating a healthier world by tackling significant health challenges through innovative therapies. They are seeking an intern to contribute to high-impact projects in AI/ML, focusing on natural language processing and biomedical data science, while gaining hands-on experience in a collaborative environment.
BiopharmaBiotechnologyHealth CareManufacturingPharmaceutical
Responsibilities
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
Qualification
Required
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
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
Benefits
Paid company holidays
Sick time
Housing stipends for eligible employees
Company
Gilead Sciences
Gilead Sciences is a biopharmaceutical company that discovers, develops, manufactures and commercializes therapies for critical diseases.
Funding
Current Stage
Public CompanyTotal Funding
$4.41BKey Investors
Abingworth
2024-11-13Post Ipo Debt· $3.5M
2024-02-29Post Ipo Equity· $210M
2023-09-07Post Ipo Debt· $2B
Leadership Team
Recent News
2025-12-30
BioWorld Financial Watch
2025-12-29
Company data provided by crunchbase