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.
REQUIREMENTS
- Ph.D. in Analytical Chemistry (Food Chemistry, Natural Product Chemistry, Metabolomics)
- At least 2 to 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.
The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.
