Gmsci Process Dynamics
Vor 3 Tagen
**About** the role**:
- ** 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.**:
**How you will contribute**:
- **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.**:
**_ DIMENSIONS AND ASPECTS _**:
**Technical/Functional (Line) Expertise**:
- ** 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**:
**Leadership**:
- ** 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.**:
**Decision-making and Autonomy**:
- ** Lead day to day coordination, covering all process dynamics and control projects/programs and assess technologies in tandem with OPUs/functions/DD&T**:
**Interaction**:
- ** 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**:
**Innovation**:
- ** Identifies opportunities and anticipates changes in the business landscape through an understanding and ongoing assessment of the environment affecting the business.**:
**Complexity**:
- ** 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.**:
**What you bring to Takeda**:
**Education / Experience**:
- ** 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 fro
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