Postdoctoral Associate (Advanced Microbial Detection for Biopharma Manufacturing)

SINGAPORE-MIT ALLIANCE FOR RESEARCH AND TECHNOLOGY CENTRE

Singapore
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Ph.d. in microbiology or biotechnology
Experience with bacteria and fungi
Ultraviolet spectroscopy expertise
** The SINGAPORE-MIT ALLIANCE FOR RESEARCH AND TECHNOLOGY CENTRE is seeking a Postdoctoral Associate to develop innovative microbial detection methods for biopharmaceutical manufacturing. The role requires expertise in microbiology, biotechnology, and machine learning, focusing on rapid detection tools to enhance safety screening processes. **

Job Summary

  • This project aims to develop a novel, label-free microbial detection method coupled with machine learning tailored for cleaning validation workflows.
  • The successful candidate will work on identifying, verifying, and designing ultraviolet spectroscopy and machine learning aided rapid detection of microorganisms.
  • The role involves interfacing with technical staff from biopharmaceutical companies and research engineers to translate rapid detection methods for safety screening.

Matching Summary

Match Score: 75

** The SINGAPORE-MIT ALLIANCE FOR RESEARCH AND TECHNOLOGY CENTRE is seeking a Postdoctoral Associate to develop innovative microbial detection methods for biopharmaceutical manufacturing. The role requires expertise in microbiology, biotechnology, and machine learning, focusing on rapid detection tools to enhance safety screening processes. **

Skills & Requirements

Must-have

  • Ph.D. in microbiology or biotechnology
  • Experience with bacteria and fungi
  • Ultraviolet spectroscopy expertise
  • Machine learning modeling experience
  • Metabolite identification via LC-MS/MS

Nice-to-have

  • Strong interpersonal relationship skills
  • Supervisory experience with junior researchers
  • Collaborative engagements in data analytics
  • Excellent verbal and written English communication
  • Track record of publication and IP output

Key Requirements

  • Ph.D. in microbiology, biotechnology, or relevant discipline
  • Demonstrable expertise in working with bacteria and/or fungi
  • Understanding of metabolite identification by LC-MS/MS
  • Experience with machine learning or modeling
  • Superior collaborative and organizational skills

Work Rights

Not specified

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