At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer – working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference.
Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact.
We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together.
Job Description
Intern - Development - CDS AI Research Center
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.
Key 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
Required Qualifications
- 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.
Preferred Qualifications
- 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.
Gilead Core Values
- Integrity (Doing What's Right)
- Inclusion (Encouraging Diversity)
- Teamwork (Working Together)
- Excellence (Being Your Best)
- Accountability (Taking Personal Responsibility)
Expected hourly range: $20.00 - $55.00
Gilead considers a variety of factors when determining base compensation, including education level and geographic location. These considerations mean actual compensation will vary.
Benefits include paid company holidays, sick time, and housing stipends for eligible employees.
For jobs in the United States:
Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact ApplicantAccommodations@gilead.com for assistance.
For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster.
NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT
YOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT
Gilead Sciences will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, (c) consistent with the legal duty to furnish information; or (d) otherwise protected by law.
Our environment respects individual differences and recognizes each employee as an integral member of our company. Our workforce reflects these values and celebrates the individuals who make up our growing team.
Gilead provides a work environment free of harassment and prohibited conduct. We promote and support individual differences and diversity of thoughts and opinion.
For Current Gilead Employees and Contractors:
Please apply via the Internal Career Opportunities portal in Workday.
