Develop and implement product-specific manufacturing unit operation process dynamics and control strategies, i.e., leveraging on established digital platforms and infrastructure to create digitizable numeric (mechanistic, hybrid and statistical) models for product-specific unit operation simulation that incorporates parameters and fundamental properties such as thermodynamics, transport phenomena, fluid dynamics and molecular kinetics
Lead assessment and piloting of novel PAT & sensor integration and control technologies that could catalyze meaningful improvements for manufacturing process control
Lead and establish process simulation capabilities (dry-lab) for process visualization, trouble shooting, problem solving and predictive modeling
Drive to achieve manufacturing process efficiency improvements with measurable results, e.g., reduce process deviations and discard/failure rates, improve yields and productivity and ensure high product quality, and ensure applicability across OpUs
Partner with R&D/Pharmaceutical Sciences on integrating process control concept during product development phase and building mechanistic, hybrid and statistical models for process simulation.
Lead and implement GMSci Process Dynamics and Control Engineering strategy with shared objectives & key results with DD&T and clear measurable expected outcomes
Cultivate interfaces with key stakeholders, i.e., other GMSci functions (Plasma, SM and Bio), OpU’s, GQ, SBE, DD&T, GE, PharmSci etc., for project/program execution
Be an active thought contributor participating in GMS Agile 4.0 on manufacturing process innovation and technology adoption
Provide RAPID Response, investigation support with data & data insights.
Proven track-record in applied computational sciences, such as control design and process simulation, statistical, mechanistic/hybrid modeling, large scale database architecture and multivariate data analytics, good understanding of chemical, biological and drug dosage form processes
Experience with proven track record on integrating digital capabilities into industrial manufacturing processes
Imaginative and creative practitioner harnessing best technologies and methodologies available for industrial process digital transformation
Excellent communication skills – ability to translate complex technical information into narratives that would be comprehensible by non-experts
Experience with Discoverant, SIMCA Online & Offline & OSI PI
Be the ambassador of the vision and goals with passion for digital transformation
Articulate actionable digital manufacturing strategy in alignment with key stakeholders, i.e., GMS-LT, OpU’s, SBE, DD&T, GE, GQ and PharmSci.
Commit to deliver measurable results from achieving high level process control based on the concept of PROCESS is the PRODUCT; spread enthusiasm for digitalization of unit operation and dynamic process control by demonstrating clear benefits on advancing manufacturing from current state to a fully digitized state.
Lead day to day coordination, covering all process dynamics and control projects/programs and assess technologies in tandem with OPUs/functions/DD&T
Cultivates relationships with colleagues within GMS and other business functions, e.g., R&D, DD&T articulate clear benefits to be gained from implementing digital manufacturing
Participates in scientific and industry trade organization activities
Identifies opportunities and anticipates changes in the business landscape through an understanding and ongoing assessment of the environment affecting the business.
Understands differences in practices across organizations or countries, and supports to balance local demands and perspectives with global strategies.
Supports an environment that promotes information exchange and the open and honest expression of opinions, thoughts and beliefs.
A bachelor degree in STEM (Science, Technology, Engineering and Mathematics – chemical/biochemical engineering) with a post-graduate degree (Masters/PhD) would be highly desirable
Other preferred requirements
3-5 years in pharmaceutical/biotech industry; familiar with cGMP requirements
Hands-on experience with digitizing industrial processes, computational modeling, process simulation, and data analytics
Knowledgeable with machine learning/deep learning methodologies
Prior experience with tech industry (digital, data, cloud etc.) would be a plus
Demonstrated ability to bring innovative solutions from inception to completion
Excellent oral and written communication skills
Strong expertise in Signal Processing, Time Series Analysis, Predictive Modeling
Experience in Discoverant, SIMCA Online & Offline, OSI PI, Databricks
Programming knowledge of either Python/R/MATLAB required, further skills such as RShiny, Plotly, SQL etc. are advantageous
Experience in Machine Learning algorithms (CNN, XGB, RF, SVM, LSTM, etc.) is a strong plus
Prior experience of SCRUM is a strong asset.
Company
Location
Zürich - Switzerland
Job type
Full-Time
Python Job Details
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line 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:
How you will contribute:
DIMENSIONS AND ASPECTS
Technical/Functional (Line) Expertise
Leadership
Decision-making and Autonomy
Interaction
Innovation
Complexity
What you bring to Takeda:
Education / Experience:
Data, Digital & Technology Skills:
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, SwitzerlandWorker Type
EmployeeWorker Sub-Type
RegularTime Type
Full timeMore Developer Job Boards
Fullstack Developer Jobs Golang Jobs JavaScript Jobs Python Jobs React Jobs Rust Jobs Java Jobs