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Senior Staff Engineer, Process Safety

Salary undisclosed

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Job Description

About the role:

At Takeda, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. By focusing R&D efforts on four therapeutic areas and other targeted investments, we push the boundaries of what is possible in order to bring life-changing therapies to patients worldwide.

Join Takeda as a Senior Staff Engineer, Process Safety where you will lead process safety team and activities. As part of the SMPD - Process Engineering & Technology team, you will report to Associate Director, Process Engineering.

How you will contribute:
  • Lead process safety team & activities.
  • Develop suitable workflows and fit for purpose, phase appropriate testing plans for: The identification of potential hazards of reactive chemicals, chemical reactions and waste streams. The chemical hazard evaluation for combustible powders. Assessing material compatibility.
  • Work with process chemists and engineers to perform a thorough evaluation of all known and potential hazards for the safe scale-up of chemical processes for preparing pharmaceutical intermediates and active products in both Takeda's research and manufacturing facilities.
  • Collect and integrate relevant process safety data (e.g., calorimetry, pressure build-up, off-gassing) into digital platforms for seamless data analysis and sharing, ensuring data complies with FAIR principles (Findable, Accessible, Interoperable, Reusable).
  • Use thermokinetic software and in silico models to calculate critical process parameters, such as runaway reactions, Self Accelerating Decomposition Temperature (SADT), and Time to Maximum Rate under Adiabatic conditions (TMRad), driving proactive safety interventions.
  • Develop and manage centralized process safety databases, ensuring data is easily accessible and usable for predictive safety analysis, while also creating tools to support an in-silico first approach to process safety assessment, reducing the need for excessive physical experiments.
  • Lead the development of digital protocols for conducting HAZOP analyses, utilizing data-driven insights to enhance hazard identification and risk mitigation in both new and scaled processes.
  • Document and summarize safety results in an Electronic Lab Notebook (ELN) and generates comprehensive digital process safety reports, ensuring consistent and accessible data tracking and compliance documentation.
  • Collaborate with cross-functional teams to embed data-driven process safety frameworks into the overall drug substance development lifecycle, from lab scale to full production.
  • Collaborate with internal and external manufacturing teams, leveraging data analytics AI/ML and predictive modeling to ensure the safe scale-up of processes, identifying risks before scale-up stages.
  • Review digital safety reports and data models to identify potential safety risks and designs data-driven mitigation strategies, ensuring continuous process improvement and enhanced safety outcomes.
  • Manage key vendor relationships and lead their engagement to carry out advanced process safety testing.
  • Lead technology development and workflow initiatives to implement new capabilities and improve efficiency.
  • Remain current on process safety science and technology.
  • Maintain active involvement in key professional societies through conference participation and peer reviewed publications.


Minimum Requirements/Qualifications:
  • A Ph.D. degree with 3+ years of industry experience; an MS degree with 9+ years of industry experience; or a BS degree with 11+ years years of industry experience. Degrees in Material Sciences, Chemical Engineering or Mechanical Engineering required.
  • Previous experience in process safety in the pharmaceutical, agrochemical, fine chemical or related industry required.
  • Experience in HAZOPs and/or PHAs required, with a proven ability to lead safety assessments using digital tools.
  • Previous experience with software packages for process safety prediction (e.g., AKTS, Aspen Plus, gPROMS) preferred, focusing on the prediction of thermal, chemical, and kinetic properties.
  • Strong background in kinetic modeling and the use of mechanistic models for identifying critical safety limits in reaction chemistry, ideally for pharmaceutical or chemical processes.
  • Experience in leveraging digitalization strategies, such as automated data pipelines, real-time monitoring systems, and AI-driven predictive models, to enhance process safety and reduce risk.
  • Knowledge of in silico process development and the application of predictive models for proactive safety interventions and process optimization.
  • Strong understanding of FAIR data principles (Findable, Accessible, Interoperable, Reusable) to drive efficient data management for safety modeling and analytics.
  • Sound knowledge of current Good Manufacturing Practices (cGMP) preferred.
  • Experience working in a pilot plant a plus.
  • Previous experience with the use of contract facilities and managing technical transfers a plus.
  • Experience in working in a multi-disciplinary team environment.
  • Proven scientific track record through presentations at scientific conferences and publication of peer reviewed manuscripts.


More about us:

At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best in class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work.

Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.

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Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.

For Location:
Boston, MA

U.S. Base Salary Range:
$133,000.00 - $209,000.00

The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained , certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.

U.S. based e mployee s may be eligible for s hort - t erm and/ or l ong- t erm incentive s . U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.

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

Boston, MA

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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