validation scientist, lcms informatics in Singapore

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job details

posted
location
singapore
specialism
life science
job type
permanent
working hours
Full-Time
experience
5 years
reference number
91M0126491_1539066356
contact
rachel ren, randstad
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job description

about the company

A research, development and manufacturing MNC that specialises in analytical instruments and consumables, headquartered in the United States. With extensive global presence and strong brand recognition, this company has exceptional growth strategies. It has a dynamic and innovative culture, and offers immense career opportunities for its employees. If you are ambitious and embrace challenges, this will be the best platform to unleash your potential.

about the job

You will report to your R&D Director, and be responsible for validation of algorithms, concepts, and software tools used in LCMS data analysis. You will act as a technical expert, and provide reference to internal research and product development departments. You will:

  • Conduct feasibility studies of algorithms / concepts / software tools based on a thorough understanding of critical analytical criteria
  • Validate new desktop, client server and web-based proof-of-concept tools that are used to support data intensive mass spectrometry workflows
  • Create rapid data analysis tools for statistical evaluation ( in Excel, R, Python, Matlab, etc) to produce comprehensive characterization and metrics supporting evaluation results
  • Presenting validation data and results to internal stakeholders
  • Generate LCMS data to support feasibility studies

skills and experience required

  • Master’s Degree or above, in Chemistry or Biology
  • 5 years of hands-on experience with LCMS in the Academia/Pharmaceutical/Biotech industry
  • Strong knowledge in statistics and ability to design evaluation experiments
  • Expertise in quantification and qualitative high-resolution mass spectrometry analysis of bio-molecules or contaminants
  • Experience with protein identification and / or proteomics and metabolomics data mining preferred but not a must
  • Experience in software verification and evaluation will be added advantage

To apply online please use the 'apply' function, alternatively you may contact Rachel at 6510 1338.

(EA: 94C3609/ R1767439 )



skills

no additional skills required

qualification

no additional qualifications required

educational requirements

Master's Degree