Senior/ Research Scientist, Analytics/ Metabolomics (SIFBI)
Salary undisclosed
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Responsibilities
- Design and application of appropriate analytical strategies (focusing on small molecules) to support development of high value healthy good ingredients with novel functionalities.
- Perform targeted and untargeted metabolomics experiments, LC-MS method development, method validation and troubleshooting, analysis, and interpretation of HRMS and NMR data for biomarker identification and validation.
- Improved productivity and streamlining of existing analysis methods (macro- and micro-nutrients) via automation or new methodologies.
- Supervision of postgraduate/undergraduate students and determine validity of data.
- Creative interpretation and presentation of data to provide insightful correlation.
- Writing reports, publications, conference papers, preparation of research proposals and budget planning. Participation in preparations of funding proposals will be expected.
- Interact and collaborate with a broad range of scientific disciplines with the existing research groups at SIFBI and A*STAR Research Institutes, particularly those focusing on integration of metabolomics ? genomic, nutrition and bioinformatics.
- Contribute to the continuous improvement and future development of analytical capability.
- Ph.D. in Analytical Chemistry (Food Chemistry, Natural Product Chemistry, Metabolomics)
- More than 5 years of working experience in analytical chemistry, metabolomics, and testing of new methodologies. Industry experience is an advantage.
- Expertise in HPLC-UV/RID/ELSD, LC-MS/MS (QTOF and QQQ), NMR instrumentation, sample preparation techniques, data acquisition and interpretation.
- At least three to four Scientific publications high in high-ranking journals and demonstrated experience in writing publications, conference papers and research proposals.
- Proficiency in performing untargeted and targeted metabolomics and lipidomics data processing, statistical analysis, and data interpretation.
- Good communication, presentation and interpersonal skills are essential.
- Excellent project, laboratory management and prioritization skills in multiple tasks, meeting strict deadlines.
- Capability of creative and critical thinking, independent thought and experimentation, decision making, problem solving with discretion, self-motivation and curiosity.
- Proficiency in various LC/MS data processing software, commercial and in house databases.
- Experience in supervision of undergraduate/graduate researchers.
- Proficiency in statistical software package is advantageous.
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