Intern - Development - CDS AI Research Center

Gilead Sciences•Foster City, CA

1d•$20 - $55•Hybrid

About The Position

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. The AI Research Center (ARC) Clinical Data Science team is seeking a Software Engineering Intern to help develop production-grade software and intelligent data-processing solutions that support data-driven decision-making in a regulated enterprise environment. In this role, you will design and implement backend services that ingest and process external data updates, detect meaningful changes, and generate concise stakeholder-focused summaries to enable downstream analytics, insights, and notifications. You will work closely with software engineers, data scientists, architects, and product stakeholders to deliver scalable, reliable, and maintainable solutions that bridge traditional software engineering with emerging AI capabilities. This is an opportunity to gain hands-on experience building enterprise AI systems while contributing to real-world applications in clinical research and development.

Requirements

Must be at least 18 years of age at the start of the internship.
Must be enrolled full‑time in a Bachelor’s, Master’s, MBA, JD or PhD program at a nationally accredited U.S. college or university, with continued full‑time enrollment required in the Fall semester following the internship.
Must be currently enrolled as an undergraduate (freshman, sophomore, junior, or senior) or as a graduate/doctoral student.
Must have a minimum overall cumulative GPA of 2.8 at the time of application and hire (official transcripts will be requested).
Must be independently authorized to work in the United States now and in the future (current or future work authorization must not require school or employer sponsorship) official transcripts are required.
Must be able to commit to a full‑time internship lasting 10–12 consecutive weeks between May and August.
Must be willing and able to work at the designated site for the duration of the internship (relocation may be required). All internships are hybrid; fully remote roles are not offered.

Nice To Haves

Preferred Degree qualification: Undergraduate/Graduate/MBA/PhD/PharmD
Preferred Major: Computer Science, Statistical Programming, Biostatistics, Molecular and Cell Biology, Biochemistry, Physics, Mathematics or Biology
Proficiency with Microsoft Office (MS Office) tools, such as Word, Excel, PowerPoint, and Outlook
Strong problem‑solving skills, with the ability to identify issues and proactively seek solutions
Ability to work effectively both independently and as part of a team in a collaborative environment
Demonstrated commitment to inclusion and diversity, including the ability to work respectfully with individuals from diverse backgrounds
Highly organized, detail‑oriented, and able to manage competing priorities in a fast‑paced environment with short timelines
Proficiency in Python, TypeScript, Java, C#, or another modern programming language.
Experience building backend applications, APIs, and data-processing systems.
Experience with SQL and relational databases.
Familiarity with software engineering best practices, including version control, automated testing, and code reviews.
Strong problem-solving, communication, and collaboration skills.
Experience with cloud platforms (AWS).
Experience processing structured and semi-structured data (e.g., JSON, APIs, event streams).
Familiarity with workflow orchestration, event-driven architectures, or distributed systems.
Experience integrating AI/LLM APIs or generative AI capabilities into software applications.
Familiarity with prompt engineering, structured outputs, and validation strategies for LLM-powered applications.
Interest in applying software engineering and AI to healthcare, life sciences, or clinical development.

Responsibilities

Collaborate with cross-functional stakeholders in an agile development environment to define requirements and deliver technical solutions.
Design and build backend services and data-processing components using maintainable, strongly typed code.
Develop deterministic logic to identify, classify, and prioritize meaningful data changes from external sources.
Implement LLM-powered summarization capabilities with structured outputs, validation mechanisms, and operational guardrails.
Design and develop APIs and service interfaces for downstream consumers and applications.
Integrate components into existing workflow orchestration and event-driven processing pipelines.
Build automated unit, integration, and regression tests to ensure software quality and reliability.
Participate in technical design discussions, architecture reviews, and code reviews.
Implement production-readiness capabilities including logging, monitoring, metrics, error handling, and resiliency patterns.
Create technical documentation such as design specifications, interface contracts, prompt and model versioning notes, and operational runbooks.
Present project outcomes, technical tradeoffs, lessons learned, and recommendations at the conclusion of the internship.
Showcase your work with a final presentation (PPT) near the conclusion of your internship