394912BR
Mar 21, 2024
Switzerland
About the Role
As an intern in Downstream Process Development (DSP), you will be a key enabler for our aspirations to advance on the field of model-assisted Drug Substance Development (DSD) and contribute to our innovation strategy. You will join the DSD Scientific Office and work in close collaboration with the portfolio project development teams (and many more experts within the Biologics community) acting as key contributor on Downstream Process modelling while generating relevant data in the lab and applying them within model-based solutions.
Preferred start date: Q2 2024
Duration: 6 months
Key Responsibilities:
Your responsibilities include, but are not limited to:
• Contribute to the development of mathematical models to characterize the DSP production system and its dynamic
• Design, planning, and execution of experiments to support model development activities, model vali-dation, and process optimization/characterization
• Support ongoing app development by striving to develop and/or extend your programming skills
#hybrid
Preferred start date: Q2 2024
Duration: 6 months
Key Responsibilities:
Your responsibilities include, but are not limited to:
• Contribute to the development of mathematical models to characterize the DSP production system and its dynamic
• Design, planning, and execution of experiments to support model development activities, model vali-dation, and process optimization/characterization
• Support ongoing app development by striving to develop and/or extend your programming skills
#hybrid
Diversity & Inclusion / EEO
We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.
Role Requirements
Requirements
• Master or PhD graduate in a relevant field as chemical engineering, biochemical engineering, bioprocess technology, bioinformatics, or similar with a strong background on process modelling (mechanistic, data-driven and/or hybrid models)
• Knowledge on DSP processes with the interest and ability to work in that field
• Experience working in a chemical/biological lab environment
• Demonstrated programming skills (R, Python, or MATLAB) and knowledge of Machine Learning algo-rithms is desired
• Experience in app development (e.g. Streamlit, Dash, Shiny) and/or mathematical optimization would be beneficial
• Excellent ability to build collaborative relationships and a can-do mind-set
• Proficiency in oral and written English with strong communication and presentation skills
Why Novartis:
Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture
Accessibility and accommodation
Novartis is committed to working with and providing reasonable accommodation to all individuals. If, because of a medical condition or disability, you need a reasonable
accommodation for any part of the recruitment process, or in order to receive more detailed information about the essential functions of a position, please send an e-mail to
[email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network
• Master or PhD graduate in a relevant field as chemical engineering, biochemical engineering, bioprocess technology, bioinformatics, or similar with a strong background on process modelling (mechanistic, data-driven and/or hybrid models)
• Knowledge on DSP processes with the interest and ability to work in that field
• Experience working in a chemical/biological lab environment
• Demonstrated programming skills (R, Python, or MATLAB) and knowledge of Machine Learning algo-rithms is desired
• Experience in app development (e.g. Streamlit, Dash, Shiny) and/or mathematical optimization would be beneficial
• Excellent ability to build collaborative relationships and a can-do mind-set
• Proficiency in oral and written English with strong communication and presentation skills
Why Novartis:
Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture
Accessibility and accommodation
Novartis is committed to working with and providing reasonable accommodation to all individuals. If, because of a medical condition or disability, you need a reasonable
accommodation for any part of the recruitment process, or in order to receive more detailed information about the essential functions of a position, please send an e-mail to
[email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network
Development
TECHNICAL R & D GDD
Switzerland
Basel
Novartis Pharma AG
Interns/Students on Novartis Payroll
Full Time
Internship
No
