Manufacturing Compliance AI & Automation Co-Op

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Job Description

Team or BU/F Description

The MBO Manufacturing Compliance team supports manufacturing operations by strengthening the quality and compliance systems used to manage deviations, corrective and preventive actions (CAPAs), change controls, and quality risk assessments. The team partners with Manufacturing, Quality, Engineering, Digital, and other site functions to improve investigation quality, enable risk-based decisions, support inspection readiness, and drive sustainable compliance improvements across the manufacturing organization.

Role Overview

The Manufacturing Compliance AI & Automation Co-op will help design and prototype responsible AI tools that support compliance workflows. Working with compliance subject matter experts and digital partners, the Co-op will translate business needs into practical use cases, organize approved content and data, build and test AI agents, and document results. Initial use cases may include deviations, CAPAs, change controls, and risk assessments. All solutions will operate under established quality, data privacy, information security, validation, and human-review requirements.

How You Will Contribute

As a Manufacturing Compliance AI & Automation Co-op, you will have the opportunity to:

• Map current compliance workflows and identify repetitive, document-intensive activities that are appropriate for AI-assisted support.

• Gather user requirements and convert them into clear use cases, user stories, acceptance criteria, and process maps.

• Develop and test proof-of-concept AI agents for deviation investigation support, CAPA quality checks, change control impact assessment, and quality risk assessment preparation.

• Prepare and curate approved knowledge sources, example records, prompts, and test scenarios while protecting confidential and regulated information.

• Evaluate outputs for accuracy, traceability, usability, bias, and compliance risk, and document defects, limitations, and required human review.

• Build simple dashboards or summaries to communicate pilot performance, user feedback, cycle-time observations, and recommended improvements.

• Create user guides, technical documentation, governance recommendations, and a final presentation to support a sustainable handoff to the MBO Manufacturing Compliance team.

Co-op Development Opportunities

• Gain hands-on experience applying generative AI, automation, and data analytics in a regulated biopharmaceutical manufacturing environment.

• Develop practical knowledge of deviations, CAPAs, change controls, quality risk management, and Good Manufacturing Practice expectations.

• Strengthen skills in product discovery, process mapping, requirements development, prompt design, testing, validation thinking, and responsible AI governance.

• Collaborate with cross-functional stakeholders and practice presenting technical concepts and recommendations to compliance professionals and leadership.

• Build a portfolio of documented prototypes and measurable business outcomes while learning how digital solutions move from concept to controlled implementation.

Job Requirements

• This position will be Hybrid (3 days per week onsite) out of the Lexington, Massachusetts location.

• Must be pursuing a Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Information Systems, Engineering, Bioengineering, Life Sciences, or a related field.

• Interest in generative AI, machine learning, process automation, data analytics, or digital product development.

• Working knowledge of Python, SQL, Microsoft Power Platform, Microsoft Copilot Studio, Azure AI, or similar tools is preferred; equivalent academic or project experience will be considered.

• Strong analytical, problem-solving, documentation, and communication skills, with the ability to convert ambiguous needs into structured requirements.

• Ability to work carefully with confidential information and follow data privacy, information security, and quality-system requirements.

• Ability to collaborate with technical and non-technical stakeholders and incorporate feedback through iterative testing.

• Familiarity with regulated industries, Good Manufacturing Practice, quality systems, or risk management is beneficial but not required.

Takeda Compensation and Benefits Summary

We understand compensation may be   an important factor  as you consider an internship opportunity. We are committed to  equitable  pay for all employees , and we strive to be more transparent with our pay practices.

For Location

USA - MA - Lexington - BIO OPS

U.S. Hourly Wage Range

$2 1 .00 - $ 46 .00

The estimated hourly range reflects  an anticipated  range for this position. The actual hourly wage offered will depend on the candidate’s school year /level to be entered following completion of internship .   The actual hourly wage offered will be  in accordance with  state or local minimum wage requirements for the job location .

U.S. internship benefits vary by locati on and may include:

- Paid sick time

- Civic Duty paid time off

- Participation at company volunteer events

- Participation at company sponsored special events

- Access to on-site f itness c enter (where a vailable )

- Commuter Benefit: To offset your work-commute expenses, Takeda provides U.S. employees with a fixed monthly subsidy to be used for either public transportation (transit) or parking.

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

Locations

USA - MA - Lexington - BIO OPS

Worker Type

Employee

Worker Sub-Type

Paid Intern (duración determinada) (en formación)

Time Type

Full time

Job Exempt

No

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