Intern - CFO - IT

Socket.dev; Foster City (CA); On-site; USD 28,000 - 76,000; Full time

Benefits offered by this job

Housing stipend

Paid holidays

Sick time

Job summary

Gilead Sciences Inc. is offering an AI/ML internship within Enterprise Data & Analytics, engaging in high‑impact projects across R&D and PDM/Tech Ops.

You’ll gain hands‑on experience in data science, analytics, and AI/ML applications in a collaborative setting. Expect to develop pipelines, visualizations, and dashboards, with opportunities for professional development, leadership presentations, and community activities.

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.
• Must be currently enrolled as an undergraduate or graduate/doctoral student.
• Must have a minimum GPA of 2.8 at time of application and hire.
• Must be independently authorized to work in the United States now and in the future (no sponsorship needed).
• Must be able to commit to a full‑time internship lasting 10–12 consecutive weeks between May and August.
• Hybrid internship; fully remote roles are not offered.

Responsibilities

• Collaborate with Agile teams to understand requirements for R&D and PDM/Tech Ops applications.
• Support data science and analytics use cases, including AI/ML and GenAI projects.
• Assist in development, deployment, and integration of applications into HPC and cloud environments.
• Build and maintain data pipelines and ETL processes for large-scale data sets.
• Conduct data cleaning, transformation, and analysis using statistical and ML techniques.
• Develop data visualizations and dashboards to communicate insights.
• Integrate Data & Analytics workflows with enterprise environments.
• Contribute to solution documentation and present your work at internship end.
• Participate in team meetings, professional development events, and community activities.

Skills

Python

SQL

R

Databricks

Tableau

Power BI

Cloud platforms

Linux

CI/CD

Slurm

Education

Bachelor’s/Master’s/MBA/JD/PhD program

Tools

Linux

CI/CD tools

Slurm

Job description

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.

Intern - CFO - IT

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.

As an AI/ML intern in Enterprise Data & Analytics, you will contribute to high-impact projects in Research & Development and PDM/Tech Ops. You’ll gain hands‑on experience with advanced analytics, data science, and AI/ML applications in a dynamic, collaborative environment.

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

• Collaborate with Agile teams to understand requirements for R&D and PDM/Tech Ops applications.
• Support research data science and advanced analytics use cases, including AI/ML and GenAI projects.
• Assist in the development, deployment, and integration of scientific and business applications into HPC and cloud environments.
• Build and maintain data pipelines and ETL processes for large-scale data sets.
• Conduct data cleaning, transformation, and analysis using statistical and machine learning techniques.
• Develop data visualizations and dashboards to communicate insights.
• Integrate Data & Analytics workflows from other platforms with enterprise environments.
• Contribute to solution documentation and present your work at the end of the internship.
• Participate in team meetings, professional development events, and community activities.
• Stay technically current through education and planning.
• 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 enrolledfull‑timein a Bachelor’s, Master’s, MBA, JD or PhD program at a nationally accredited U.S. college or university, with continuedfull‑timeenrollmentrequiredin 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 requireschool oremployer sponsorship)official transcripts arerequired.
• Must be able to commit to afull‑timeinternship 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 berequired). All internships are hybrid; fully remote roles are not offered.

Preferred Qualifications:

• Preferred degree level: Undergraduate,Graduate, MBA, PhD, JD, or PharmD (based on role alignment)
• Preferred field of study: Biology, Computer Science, Data Science, Engineering, or related fields.
• Proficiencywith Microsoft Office (MS Office) tools, such as Word, Excel, PowerPoint, and Outlook
• Strongproblem‑solvingskills, with the ability toidentifyissues 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 furt‑pacedenvironment with short timelines
• Experience with Python, SQL, R, Databricks, Tableau, Power BI, and cloud platforms.
• Familiarity with Linux, CI/CD tools, and job scheduling environments (e.g., Slurm).
• Understanding of biology, chemistry, or related scientific domains is a plus.

Gilead Core Values:

• Integrity (Doing What’s Right)
• Inclusion (Encouraging Diversity)
• Teamwork (Working Together)
• Excellence (Being Your Best)Accountability (Taking Personal Responsibility)

The expected hourly range for this position is $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 [e-mail] 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.