Lab Automation Co-op: AI + Python Solutions

6084-Janssen Research & Development, LLC Legal Entity

Malvern (Chester County)

On-site

USD 28,000 - 39,000

Full time

3 days ago

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Job summary

Johnson & Johnson in Malvern, PA is seeking a TDS CGT-Digital Automation Co-Op. This six-month, full-time on-site role offers hands-on experience in laboratory automation, AI-driven systems, Python development, and instrument integration within the Cell & Gene Therapy Development team.

The Co-op runs roughly six months, January to June 2027, with a flexible start. You will prototype control layers, develop AI-enabled workflows, and collaborate with scientists to deliver automation solutions

Qualifications

Completion of Undergraduate Freshman year at an accredited University is required.
Currently pursuing a Bachelor's, Master's, or PhD degree in Analytical Chemistry, Bioinformatics, Chemical Engineering, Biological Engineering, Biomedical Engineering, Computer Science, Software Engineering, Data Science, or related fields.
Minimum cumulative GPA of 3.0 or higher is required.
Candidates must be actively enrolled in an accredited university throughout the duration of the co-op assignment.
Proven programming experience in Python is required.
Exposure to AI/ML technologies, Large Language Models (LLMs), or AI-agent tools is preferred.
Strong analytical, quantitative, and problem-solving skills are required.
Familiarity with structured data formats such as JSON and CSV.
Ability to read technical documentation and independently learn new tools, APIs, and technologies.
Knowledge of software development fundamentals and scripting practices.
Experience working with APIs, SDKs, hardware integration, laboratory instruments, or automation systems is preferred.
Understanding of error handling, control logic, state machines, and system monitoring concepts is preferred.
Exposure to AI agent concepts such as tool usage, planning, human-in-the-loop workflows, and Model Context Protocol (MCP) is preferred.
Basic laboratory skills and prior experience with laboratory work or laboratory automation (liquid handlers, robotics, or instrument control systems) are preferred.
Excellent communication, presentation, leadership, and teamwork skills are preferred.
Ability to manage multiple priorities and work independently while contributing to team goals.

Responsibilities

Prototyping a control layer that connects AI agents to laboratory liquid handling systems for direct command execution.
Developing Python-based solutions to enable intelligent automation workflows.
Implementing state-checking, observation, and decision-making logic between automated execution steps.
Designing and testing mechanisms to identify execution issues such as clogged tips, low reagent levels, or instrument misalignment, and applying corrective actions.
Building approval checkpoints that allow scientists to review and authorize plans or critical actions before execution.
Creating guardrails, logging systems, and state-tracking tools to ensure transparency, auditability, and safe operation of AI-enabled systems.
Supporting integration efforts between instruments, APIs, SDKs, and automation platforms.
Collaborating with scientists and engineers to develop innovative automation solutions and provide project support as needed.