Takeda’s Innovation and Technology Sciences (ITS) team is looking for exceptionally talented and highly motivated candidates for pursuing an interdisciplinary PhD research program, in which the goal is to design, develop, and evaluate new ways of work in our pharmaceutical process development laboratories. With the help of new technologies in the fields of predictive process monitoring and control, in-silico experimentation and others, Takeda is aiming to significantly enhance the state-of-the-art for effective and accelerated CMC (Chemistry, Manufacturing, and Control) development.
The digitalization processes in pharmaceutical process development do not only change the way data is captured or accessed during the execution of experiments: The interconnectedness of equipment and data, the advances in computational simulations and systems biology, robotic automation and machine learning offer the chance to completely change the way scientists can operate in a lab. The potential to automate repetitive, tiresome and time-consuming tasks, and at the same time increase both efficiency and quality of the scientists’ daily work, is here – but there is still the urgent need to align new technological advances with the tasks to perform, all while ensuring safety and efficacy of the developed products.
In alignment with the ongoing activities at the Takeda ITS “Digital Lab of the Future”, the goal of this subproject is to align both soft- and hardware solutions and prototypes that are currently being developed, and to create and optimize workflows that will define the future ways of operating in the Takeda process development laboratories.
In particular, this includes:
Building, deploying, and transferring predictive mathematical models (data-driven, knowledge-driven, and hybrids thereof)
Integration of various data sources – both technically and contextually. Data from various systems is to be connected, collected, and contextualized for application in the developed systems.
Application of the concepts of Process Analytical Technology (PAT) and Quality by Design (QbD) to our processes
Collaborating in a diverse and highly interdisciplinary field of biotechnology, process engineering, mathematics, software development and IT
Hands-on work in a (non-GMP) lab environment
Keeping abreast of technological advances specific to Data Science, Data Engineering, Computational Process Development, Systems Biology and Advanced Process Control.
Publication of 4 papers on selected, peer-reviewed conferences and/or journals
Collaboration with internal stakeholders, external vendors, and academic researchers
Master’s degree in Life Science, Process Engineering or relevant adjacent fields (e.g. Computer Science, Data Science, Mathematics)
Interest in interdisciplinary research
Affinity to explore the value in data and its link to accelerate the product life cycle
Experience in numerical programming using tools such as Matlab® and Python® is a plus
A superior command of English (German as a plus)
You should be accustomed to networked critical analytical thinking, scientifically interested and able to work in a team
A good sense of humor and a passion for innovation and exploration - this will help you integrate into the spirit of the team you will be joining
At Takeda, we are transforming the pharmaceutical industry through our R&-driven market leadership and being a values-led company. To do this, we empower our people to realize their potential through life-changing work. Takeda encourages and supports its employees by trainings, job rotations and mentoring. A balanced work – life ratio (recognition for work and family, company kindergarten) and numerous benefits (fitness center, cafeteria, etc.) complete our profile as a top employer. For more insights into Takeda click here.
We foster an inclusive, collaborative workplace, in which our global teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world. Gender, age, skin color, background or sexual orientation play no role in this as we actively promote diversity. We equally address people with disabilities. In the course of a recruitment process which is as free of barriers as possible, we encourage you to mention all relevant information in this context in your application. The salary for this important PhD position is € 2.800,- gross per month (full time, collective wage agreement for the chemical industry). Typically, a PhD candidate works 30 hours a week.
AUT - Orth an der Donau
Paid Intern (Fixed Term) (Trainee)