Advanced Process Modeling Expert
Company: Takeda
Location: Cambridge
Posted on: January 12, 2026
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Job Description:
By clicking the “Apply” button, I understand that my employment
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with Takeda’s Privacy Notice and Terms of Use . I further attest
that all information I submit in my employment application is true
to the best of my knowledge. Job Description About the role As an
Advanced Process Modeling Expert , you will develop, deploy, and
maintain advanced process models and digital twins that drive
control and optimization strategies across manufacturing processes,
both for unit-operations and end-to-end. Developing custom code,
leveraging digital modeling tools, and robust data infrastructure,
you will develop mechanistic, hybrid, or AI/ML-based models for
dynamic simulation, forecasting and soft-sensing. Your work will
enhance process understanding, support tech transfers, and
strengthen overall process capability and product quality. How you
will contribute Develop mechanistic, hybrid, and statistical/ML
models for unit operations (e.g., bioreactors, chromatography,
filtration, UF/DF), applying first principles like mass & energy
balances, reaction kinetics, thermodynamics, and transport
phenomena. Build dynamic digital twins for scenario analysis,
scale-up/scale-down evaluation, material-balance verification, and
manufacturing tech transfer readiness. Own the full lifecycle of
digital process models, from conceptual design to implementation,
deployment, monitoring, and retraining. Prepare and structure data
for dry-lab simulations by integrating sensor/historian, batch
records, and Manufacturing Sciences lab data. Develop soft sensors
for non-measurable or slow-to-measure process parameters using
mechanistic ?correlations, ML regression, and hybrid approaches.
Drive manufacturing optimization initiatives such as cycle-time
reduction, yield improvement, process robustness studies,
root-cause analyses, and failure-mode simulations. What you bring
to Takeda Bachelor’s degree in a STEM field (Chemical or
Biochemical Engineering preferred); Master’s or PhD is an
advantage. Minimum of 3 years in pharmaceutical manufacturing,
familiar with cGMP requirements. Experience in digitizing
industrial processes, computational modeling, process simulation,
soft-sensor development, and data analytics. Proficiency in AI,
machine learning, and statistical methods for data-driven
decision-making. Strong expertise in scientific modeling:
mechanistic and hybrid modeling; experience with flow-sheeting
software such as gPROMS. Familiarity with Discoverant, SIMCA
Online/Offline, OSI PI, Databricks, and AWS is a plus. Strong
programming skills in Python (Julia is a plus). Familiarity with
Agile project management (Scrum/Kanban in Jira) is advantageous.
Clear communicator capable of explaining technical concepts to
non-experts. Curious and open to leveraging new digital tools and
methodologies to improve industrial processes. Fluent in English
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. Empowering our people to shine: 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, or any other
characteristic protected by law. Locations Zurich,
SwitzerlandCambridge, MA Worker Type Employee Worker Sub-Type
Regular Time Type Full time
Keywords: Takeda, Hartford , Advanced Process Modeling Expert, Science, Research & Development , Cambridge, Connecticut
