At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/.
Emerging Technologies, Manufacturing Science and Technology, Janssen Supply Group, part of the Janssen Supply Chain, is currently looking for a Co-Op to be based in Spring House, PA.
Janssen Pharmaceuticals Companies of Johnson & Johnson are focused on tackling and resolving significant medical needs that have yet to be met. Our range of offerings includes pharmaceuticals, biologics, and combination products. In our dedication to patients, we collaborate closely with healthcare professionals to develop sustainable healthcare solutions that are built on trust and transparency. Janssen Supply Group, LLC is a division of the Janssen Pharmaceutical Companies of Johnson & Johnson.
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The Co-Op student will have a unique opportunity to contribute to Emerging Technologies initiatives in biopharmaceutical manufacturing. They will be involved in the implementation of innovative solutions, including new manufacturing methods in upstream and downstream processing, as well as process analytical technology (PAT) sensors and modeling to support next-generation manufacturing of biopharmaceuticals.
Key Responsibilities:
- Perform a variety of lab experiments to support biopharmaceutical manufacturing processes, including cell culture, downstream processing, and formulation of drug substance.
- Set up and tear down bioreactors, conduct offline testing, and collect PAT data to ensure flawless execution of experiments.
- Collect and curate data from PAT and other process outputs, contributing to the modeling of the data for analysis and optimization.
Qualifications
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/.
Emerging Technologies, Manufacturing Science and Technology, Janssen Supply Group, part of the Janssen Supply Chain, is currently looking for a Co-Op to be based in Spring House, PA.
Janssen Pharmaceuticals Companies of Johnson & Johnson are focused on tackling and resolving significant medical needs that have yet to be met. Our range of offerings includes pharmaceuticals, biologics, and combination products. In our dedication to patients, we collaborate closely with healthcare professionals to develop sustainable healthcare solutions that are built on trust and transparency. Janssen Supply Group, LLC is a division of the Janssen Pharmaceutical Companies of Johnson & Johnson.
The Co-Op student will have a unique opportunity to contribute to Emerging Technologies initiatives in biopharmaceutical manufacturing. They will be involved in the implementation of innovative solutions, including new manufacturing methods in upstream and downstream processing, as well as process analytical technology (PAT) sensors and modeling to support next-generation manufacturing of biopharmaceuticals.
Key Responsibilities:
- Perform a variety of lab experiments to support biopharmaceutical manufacturing processes, including cell culture, downstream processing, and formulation of drug substance.
- Set up and tear down bioreactors, conduct offline testing, and collect PAT data to ensure flawless execution of experiments.
- Collect and curate data from PAT and other process outputs, contributing to the modeling of the data for analysis and optimization.