TL;DR

2026 Summer Intern - Computational Sciences Center of Excellence - Agentic Tool for Optical Pooled Screens (AI): Building an autonomous AI agent for Optical Pooled Screens (OPS) data processing with an accent on API design, database performance, and scalability. Focus on designing a modular Python-based agent, implementing robust reasoning for self-correction, and ensuring an interoperable system with standard APIs.

Location: This internship position is located on-site in South San Francisco, California. Relocation benefits are not available for this job posting.

Salary: $50.00 per hour

Company

%hirify_global%, a member of the Roche group and founder of the biotechnology industry, is dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases.

What you will do

Design a modular Python-based agent capable of "tool use" (invoking internal binary executables and APIs).
Build a production-grade interface for the agent, prioritizing clear, standard communication protocols.
Establish a rigorous evaluation framework to quantify the agent's ability to converge on optimal processing configurations.
Design an agent capable of utilizing internal OPS CLI and Python tools for autonomous pipeline optimization.
Implement a robust reasoning loop to interpret structured quality control logs, diagnose failure modes, and self-correct.
Design and implement a well-documented, standard API (REST/OpenAPI) for the agent to allow third-party orchestrators or other specialized agents to communicate.

Requirements

Must be pursuing a PhD (enrolled student) or have attained a PhD.
Required Majors: Computer Sciences, Data Sciences, Artificial Intelligence, Machine Learning, Applied Mathematics, Applied Physics, Computational Biology, Biomedical Engineering, Bioinformatics, Data Engineering.
Advanced Expertise in AI Agents with deep knowledge of orchestration frameworks (e.g., LangGraph, AutoGen), state management, and tool-calling patterns.
Strong Software Engineering: Expert Python system designer with experience in Model Context Protocol (MCP) and Agent Communication protocol (ACP) implementation.
Comfortable working with high-dimensional data and complex optimization landscapes.
Ability to work at the intersection of two labs, translating computer science concepts into practical solutions for biological discovery.

Culture & Benefits

Intensive 12-weeks full-time (40 hours per week) paid internship.
Program start dates are in May 2026.
A stipend, based on location, will be provided to help alleviate costs.
Ownership of challenging and impactful business-critical projects.
Work with some of the most talented people in the biotechnology industry.
%hirify_global% is an equal opportunity employer.