Logo of Huzzle

Home

Matches

Explore

Manage

Advanced Process Modeling Expert

image

Takeda

14d ago

  • Job
    Full-time
    Mid Level
  • Data
    Engineering
  • Zurich

AI generated summary

  • You need a STEM degree, 3+ years in pharma/biotech, expertise in process digitization, modeling, data analytics, strong Python skills, and excellent communication for tech concepts.
  • You will lead advanced process modeling, optimize manufacturing efficiency, ensure data readiness, design data blueprints, and leverage AI for process simulations, collaborating on data collection efforts.

Requirements

  • • Bachelor’s degree in a STEM field (Science, Technology, Engineering, or Mathematics – ideally Chemical/Biochemical Engineering); post-graduate degree (Master’s/PhD) is highly desirable.
  • • At least 3 years of experience in the pharmaceutical/biotech industry with familiarity in cGMP requirements.
  • • Proven expertise in digitizing industrial processes, computational modeling, process simulation, soft-sensor development, and data analytics.
  • • Advanced proficiency in statistical, machine learning, and AI methodologies.
  • • Expertise in mechanistic and hybrid modeling techniques, with experience using flow-sheeting software (e.g., gPROMS).
  • • Familiarity with Discoverant, SIMCA Online & Offline, OSI PI, Databricks, AWS Cloud Services is advantageous.
  • • Experience in developing soft sensors for drug manufacturing processes is a strong asset.
  • • Strong programming skills in Python, with additional expertise in R, Matlab, Plotly, Streamlit, RShiny, PowerBI, SQL, etc., considered a plus.
  • • Familiarity with project management methodologies, including SCRUM, is a strong advantage.
  • • Exceptional communication skills, with the ability to translate complex technical concepts into clear, understandable narratives for non-experts.
  • • Creative and forward-thinking, with a passion for leveraging cutting-edge technologies and methodologies to drive industrial process digital transformation.
  • • Fluent in English.

Responsibilities

  • Lead the execution of control strategy initiatives by implementing advanced process models tailored to product-specific, manufacturing unit operations. Develop and leverage digitizable, numerical models (mechanistic, hybrid, and statistical/machine learning) for soft-sensing, forecasting, and simulation, incorporating physical parameters and core principles such as thermodynamics, transport phenomena, fluid dynamics, and molecular kinetics.
  • Own the lifecycle management of process models, ensuring their ongoing optimization, relevance, and alignment with operational and strategic objectives.
  • Facilitate data readiness for process simulation (dry lab) to support process visualization, troubleshooting, problem-solving, and predictive modeling capabilities.
  • Execute optimization initiatives to improve manufacturing efficiency, such as reducing process deviations, failure/discard rates, enhancing yield, and increasing productivity, while maintaining high product quality.
  • Utilize NorthStar technologies and platforms to monitor manufacturing parameters and create product-specific AI solutions that support predictive process simulations and problem-solving capabilities.
  • Design and document data blueprints, ensuring data availability, quality, and context are automated in the cloud, enabling the creation of scalable, ready-to-deploy process models, increasing automation, and preparing the factory of the future for manufacturing sciences.
  • Collaborate on data contextualization and collection of end-user requirements to digitize manufacturing unit operations effectively.

FAQs

What is the primary role of the Advanced Process Modeling Expert?

The primary role involves developing and deploying advanced process models to drive control strategy initiatives, enhance unit-operation analytics, and optimize manufacturing processes while ensuring high product quality.

What qualifications are required for this position?

A Bachelor’s degree in a STEM field, ideally Chemical or Biochemical Engineering, is required. A post-graduate degree (Master’s/PhD) is highly desirable.

How many years of experience are necessary for this role?

At least 3 years of experience in the pharmaceutical or biotech industry is required, with familiarity in cGMP requirements.

Are there specific software or technologies that candidates should be familiar with?

Yes, familiarity with flow-sheeting software (e.g., gPROMS), Discoverant, SIMCA Online & Offline, OSI PI, Databricks, and AWS Cloud Services is advantageous.

What skills in programming are preferred for this position?

Strong programming skills in Python are required, with additional skills in R, Matlab, Plotly, Streamlit, RShiny, PowerBI, and SQL considered a plus.

Is experience in developing soft sensors a requirement?

Experience in developing soft sensors for drug manufacturing processes is a strong asset but is not explicitly stated as a requirement.

What communication skills are expected from candidates?

Exceptional communication skills are necessary, with the ability to translate complex technical concepts into clear, understandable narratives for non-experts.

Where is the position located?

The position is located in Zurich, Switzerland.

Is this position for a full-time role?

Yes, this position is for a full-time role.

Does this role involve any project management experience?

Familiarity with project management methodologies, including SCRUM, is considered a strong advantage for this role.

Are there opportunities for professional development in this role?

Yes, participants may have the opportunity to represent the organization in project matters and could be involved in training junior staff.

What is the work environment like for this position?

The work environment involves working independently under general direction, occasionally leading small project teams, and networking with senior professionals.

image

Takeda

Better Health, Brighter Future

Science & Healthcare
Industry
10,001+
Employees

Mission & Purpose

We strive to transform lives. While the science we advance is constantly evolving, our core purpose is enduring. For more than two centuries, our values have guided us to do what’s right for patients and for society. We know that changing lives requires us to do things differently. We start by listening to and addressing what really matters to patients, the people who love them, and those in the healthcare system who provide care. And that’s what inspires us all to be bold, push boundaries and set new standards that open up greater opportunities.