Associate Director, Cell Therapy Robotics Data Automation And Machine Learning

Takeda Pharmaceutical Company Ltd Boston , MA 02298

Posted 3 weeks ago

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Job Description

Are you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine? Join us as an Associate Director, Cell Therapy Robotics Data Automation and Machine Learning in our Cambridge office.

At Takeda, we are transforming the pharmaceutical industry through our R&D-driven market leadership and being a values-led company. To do this, we empower our people to realize their potential through life-changing work. Certified as a Global Top Employer, we offer stimulating careers, encourage innovation, and strive for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our global teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.

Here, you will be a vital contributor to our inspiring, bold mission.


The Robotics Data Automation and Machine Learning Associate Director designs and develops platforms and frameworks that facilitate automated data-driven decision-making for use in cell therapy application. This position will lead the design of tools to implement and train machine learning models using data from across the Takeda Cell Therapy Enterprise, and will deploy machine learning services across both discovery, development and manufacturing. The ideal candidate will leverage prior expertise to work cross-functionally across the organization and rapidly deploy the machine learning/AI capabilities that will inform and drive Takeda's future Cell Therapy strategy.


  • Lead the design & development of systems, data structures, database and machine learning algorithms to be interfaced with automated/robotic solutions

  • Define data/instrumentation interface requirements towards implementation of Data Driven Decision Manufacturing (D3M)

  • Develop and implement appropriate machine learning/AI algorithms that can be interfaced with automated processing tools

  • Test, Qualify and Validate data systems towards deployment in both development and manufacturing

  • Manage both internal and external data partners/stakeholders

  • Work cross-functionally across discovery, development and manufacturing to deploy digital solutions across the Cell Therapy enterprise

  • Actively involved in design and implementation of custom automation hardware, including assisting in FAT/SAT and device qualification


Education Requirements:

  • Master's degree in Engineering, Computer Science or related technical field; 7-10+ years of relevant work experience

  • PhD degree in Engineering, Computer Science or related technical field; 4-8+ years of relevant work experience

Technical Requirements:

  • Demonstrated expertise in hardware and software design principles, particularly around robotics systems, data management, data architecture and data manipulation

  • Demonstrated expertise in the development and implementation of machine learning algorithms

  • Understanding of and prior experience in integration requirements between data network and robotics/automated processing tools

  • Knowledge of process optimization theory and applications, including machine learning, AI, and Data Driven Decision Making

  • Prior expertise in development and deployment of robotic processing architecture, particularly in manufacturing environments, is a plus

  • Excellent background in statistical analysis

Knowledge and Skills:

  • Technical Skills
  • SME for GMP tools, including process and analytics and GMP manufacturing.
  • Teamwork Skills
  • Demonstrated ability to work well on global cross-functional teams.
  • Communication Skills
  • Able to expresses one's self clearly and concisely within team; documents issues and/or concerns concisely with colleagues; adjusts communication style as appropriate for the audience; timely and effectively communicates with senior management; technical writing skills to support authorship and approval of internal technical documents
  • Portfolio Management / Stakeholder Management
  • Demonstrated experience in leading and managing internal and external partner and vendor relations
  • Organization
  • Exercises good time management and prioritization skills to balance multiple project and departmental objectives
  • Technical
  • Subject matter expertise in a specific scientific area or areas. Demonstrated ability to successfully contribute across multiple scientific endeavors. Prior experience in URS, RFP and custom engineered solutions.
  • Knowledge Sharing
  • Ability to capture knowledge within the organization; improves solutions, processes, and deliverables through use of information; improves information capital by contributing experience, theories, deliverables, and models for others to use
  • Resource Management
  • Project management skills; ability to manage one's time within individual, departmental, and corporate goals and timelines; management of internal external resources (vendors)
  • External Involvement
  • Demonstrated involvement in professional community evidenced by presentation of scientific posters or lectures at professional conferences or events. Interacts with external vendors for projects
  • Leadership Skills
  • Develops and uses knowledge and interpersonal skills to appropriately influence and guide others towards the accomplishment of department/function goals and objectives.


  • May require approximately up to 20% travel


  • 401(k) with company match and Annual Retirement Contribution Plan

  • Tuition reimbursement

  • Company match of charitable contributions

  • Health & Wellness programs including onsite flu shots and health screenings

  • Generous time off for vacation and the option to purchase additional vacation days

  • Community Outreach Programs

Empowering Our People to Shine

Discover more at

No Phone Calls or Recruiters Please



Boston, MA

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Full time

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Associate Director, Cell Therapy Robotics Data Automation And Machine Learning

Takeda Pharmaceutical Company Ltd