Biotechnologist, MFG (CGT)
Lonza is hiring a Biotechnologist, MFG (CGT) in Singapore, Singapore. Level rates it ; you can apply on Lonza.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Level lists 565 other open roles at Lonza.
- The role was posted in the last few days.
AI in this role
Location: Tuas, Singapore
Join Lonza's Cell & Gene Therapy team and contribute to manufacturing innovative therapies that make a meaningful difference to patients. Based at our Tuas site, you will gain hands-on experience in cGMP manufacturing, aseptic processing and cleanroom operations while developing your technical capabilities in a dynamic biopharmaceutical environment.
What you will get
- An agile career and dynamic working culture.
- An inclusive and ethical workplace.
- Compensation programs that recognize high performance.
- Daily company bus services from designated MRT locations to and from our Tuas site.
- Fully paid medical insurance, with family coverage available at partially subsidized premiums.
- Shift allowances and ongoing learning and development opportunities.
- Access to Lonza's global benefits: https://www.lonza.com/careers/benefits.
What you will do
- Perform cGMP manufacturing activities in accordance with aseptic techniques, cleanroom practices and approved procedures.
- Complete and review Batch Records, logbooks and GMP documentation accurately and on time, ensuring data integrity.
- Perform environmental monitoring and routine production support activities, including equipment cleaning and housekeeping.
- Operate electronic systems such as DMS, LIMS and TrackWise to support manufacturing and quality activities.
- Identify and escalate deviations, equipment alarms and other non-routine events in accordance with site procedures.
- Maintain training compliance and support assigned quality activities, including CAPAs and documentation updates.
- Participate in continuous improvement initiatives to enhance safety, quality and manufacturing efficiency.
What we are looking for
- Degree or equivalent qualification or experience in Biotechnology, Biochemistry, Life Sciences, Engineering or a related discipline.
- Candidates with relevant academic or technical training are encouraged to apply; prior industry experience is not essential.
- Knowledge of biopharmaceutical manufacturing, aseptic processing or cleanroom operations is an advantage.
- Basic understanding of cGMP principles, quality requirements and data integrity practices.
- Ability to learn and use electronic manufacturing, laboratory and quality systems.
- Strong communication and interpersonal skills with a collaborative, proactive and team-oriented approach.
- Willingness to work in a cleanroom environment and perform a rotating 12-hour shift pattern.
About Lonza
At Lonza, our people are our greatest strength. With 30+ sites across five continents, our globally connected teams work together every day to manufacture the medicines of tomorrow. Our core values of Collaboration, Accountability, Excellence, Passion and Integrity reflect who we are and how we work together. Everyone's ideas, big or small, have the potential to improve millions of lives, and that's the kind of work we want you to be part of.
Innovation thrives when people from all backgrounds bring their unique perspectives to the table. At Lonza, we value diversity and are committed to creating an inclusive environment for all employees. If you're ready to help turn our customers' breakthrough ideas into viable therapies, we look forward to welcoming you on board.
Ready to shape the future of life sciences? Apply now.
How we rate this
Biotechnologist, MFG (CGT) at Lonza rates 36 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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