Grad Intern – R&D TSRS Data Sciences Operations & Analytic (Summer 2027)

Amgen•Thousand Oaks, CA

About The Position

Amgen is seeking a graduate intern for Summer 2027 to help digitize vivarium operations through data standardization, workflow design, web application development and deployment, and analytics. The intern will support modernization of vivarium operational data and work with the Data Sciences team and end users to create structured, usable digital workflows. Applicants must be available to work full time, remain enrolled at an accredited college or university after the internship, and be located in the United States throughout the program. Candidates must be authorized to work in the United States for the duration of the program; sponsorship for future full-time roles is not guaranteed. The role is intended for a student enrolled in an MBA, master’s, PharmD, or Ph.D. program who has completed the first year of that program before the internship begins, and who has already graduated with a bachelor’s degree from an accredited institution. Preferred backgrounds include data sciences, computer science, software engineering, business analytics, or a related field. The position offers a base pay range of $35.34–$41.20 per hour. The internship also offers opportunities to build a professional network, attend executive and social networking events, and participate in community volunteer projects.

Requirements

Be at least 18 years old.
Have graduated with a bachelor’s degree from an accredited college or university.
Be currently enrolled in an MBA program for an MBA internship, a master’s program for a master’s internship, a PharmD program for a PharmD internship, or a Ph.D. program for a Ph.D. internship at an accredited college or university.
Complete the first year of the relevant MBA, master’s, PharmD, or Ph.D. program before the internship starts.
Be available to work a full-time schedule.
Remain enrolled at an accredited college or university following the internship program or co-op.
Be located in the United States for the duration of the internship program.
Be authorized to work in the United States for the duration of the program.
Work experience or a degree concentration in data sciences, computer science, software engineering, business analytics, or a related field is preferred.
Strong understanding of FAIR data standards, with experience in data transformation and harmonization, is preferred.
Experience using artificial intelligence to assist with developing structured workflows and analytic systems with human-in-the-loop confirmation is preferred.
Knowledge of quality control and explainable AI techniques is preferred.
Experience with Smartsheet data extraction is preferred.
Experience working with DataBricks, Plotly, or Lovable is preferred.
Experience developing web applications, centralizing disparate data, and developing analytics dashboards is preferred.
Excellent communication skills and a commitment to reproducible, transparent research practices are preferred.
Willingness to embrace new challenges and enthusiasm for learning and exploring unfamiliar topics are preferred.
Experience with version control (Git), code documentation, and transitioning applications to a future development team is preferred.

Nice To Haves

Degree concentration in data sciences, computer science, software engineering, business analytics, or a related field.
Strong understanding of FAIR data standards and experience in data transformation and harmonization.
Experience using artificial intelligence to assist in developing structured workflows and analytic systems with human-in-the-loop confirmation.
Knowledge of quality control and explainable AI techniques.
Experience with Smartsheet data extraction.
Experience working with DataBricks, Plotly, or Lovable.
Experience developing web applications, centralizing disparate data, and developing analytics dashboards.
Excellent communication skills and a commitment to reproducible, transparent research practices.
Willingness to embrace new challenges and enthusiasm for learning unfamiliar topics.
Background in biology or pharmaceutical research.
Experience with version control (Git), code documentation, and application transition to a future development team.

Responsibilities

Evaluate existing vivarium room-log workflows and support digitization and modernization of vivarium operational data.
Develop standardized data and metadata structures and create a prototype digital workflow for capturing and analyzing vivarium activities.
Support development of a web application or tool for structured data capture.
Develop visualization and analytics systems using vivarium operational data to improve laboratory scientist efficiency.
Assist the Data Sciences team with FAIR data normalization and harmonization.
Collaborate with end users and non-technical experts and communicate the new digital workflow.