Summer Intern, Agentic Systems

Arrowhead Pharmaceuticals•San Diego, CA

2h•Onsite

About The Position

Arrowhead Pharmaceuticals, Inc. (Nasdaq: ARWR) is a clinical stage biopharmaceutical company that develops medicines that treat intractable diseases by silencing the genes that cause them. Using a broad portfolio of RNA chemistries and efficient modes of delivery, Arrowhead therapies trigger the RNA interference mechanism to induce rapid, deep, and durable knockdown of target genes. RNA interference, or RNAi, is a mechanism present in living cells that inhibits the expression of a specific gene, thereby affecting the production of a specific protein. Arrowhead’s RNAi-based therapeutics leverage this natural pathway of gene silencing. Arrowhead is focused on developing innovative drugs for diseases with a genetic basis, typically characterized by the overproduction of one or more proteins that are involved with disease. The depth and versatility of our RNAi technologies enables us to potentially address conditions in virtually any therapeutic area and pursue disease targets that are not otherwise addressable by small molecules and biologics. Arrowhead is leading the field in bringing the promise of RNAi to address diseases outside of the liver, and our clinical pipeline includes disease targets in the liver and lung with a promising pipeline of preclinical candidates. Arrowhead’s corporate headquarters is in Pasadena, CA with research and development teams in Madison, WI & San Diego, CA, and a state of the art manufacturing facility in Verona, WI. Our employees are nimble, science-driven innovators who are collaborating to bring new therapies to patients in need. The Summer Intern, Agentic Systems will support discovery research at Arrowhead Pharmaceuticals by contributing to the development of advanced AI systems that assist scientific research and decision-making. This internship offers hands-on experience building and testing AI-driven tools that support data exploration, evidence synthesis, and hypothesis generation in a collaborative research environment. The intern will work alongside computational and scientific teams to explore how autonomous AI systems can accelerate research workflows and support therapeutic discovery. This is an 11-week Summer Internship Program paying $27.00 per hour and requires full-time, on-site work five days per week at the designated location.

Requirements

Currently pursuing a PhD in Computer Science, Computational Biology, Bioinformatics, Data Science, or a related quantitative field.
Proficiency in Python, with experience building analytical pipelines or AI-driven applications.
Familiarity with large language models (LLMs) or AI-based automation tools.
Basic understanding of biological or biomedical research concepts.
Strong problem-solving and analytical skills.
Excellent verbal and written communication skills.
Ability to collaborate effectively in a cross-functional research environment.
Excellent verbal and written communication skills and ability to collaborate in a cross-functional research environment.

Nice To Haves

Experience working with agent-based or multi-step AI workflows.
Familiarity with API integration and external data sources.
Exposure to scientific or biomedical data platforms.
Experience creating dashboards, reports, or automated summaries.
Strong interest in applying AI to scientific research or drug discovery.

Responsibilities

Support the design and development of AI-driven systems that assist with research analysis and scientific reasoning.
Contribute to building and testing autonomous or semi-autonomous AI workflows that integrate data from multiple sources.
Assist with literature review, data retrieval, and evidence synthesis using AI-enabled tools.
Help develop summaries, visualizations, or reports that communicate insights generated by AI systems.
Collaborate with computational and scientific team members to refine workflows and improve usability.
Participate in testing, iteration, and evaluation of AI systems to improve performance and reliability.
Present progress updates and findings during team meetings.
Support documentation and knowledge-sharing related to AI tools and workflows.