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Open nowPosted today

Scientist, Metabolic Disorders, IHDP

A*STAR RESEARCH ENTITIES

Pay
SGD 4,750 – SGD 9,500 a month
Where
Singapore
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Your applicationOpen nowScientist, Metabolic Disorders, IHDPA*STAR RESEARCH ENTITIES · Singapore

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This job: posted today

The posting

Job Details

The A*STAR Institute for Human Development and Potential (A*STAR IHDP) focuses on research to improve and impact the health and well-being of Singaporeans across the life course. IHDP conducts research on developmental cohorts as well as related studies in metabolic health, mental health, environmental nutrition, metabolism, allergy and neurocognition and environmental influences on human development. We are looking for a research fellow with a keen interest in multi-omics (including proteomics, metabolomics, metagenomics, etc.) and its link with women’s metabolic health. The ideal candidate will have the unique opportunity to work in a dynamic, interdisciplinary environment. This role offers exclusive access to a rich array of clinical and omics data, enabling the candidate to explore and contribute to our understanding of the omics biomarkers discovery in relation to women’s pregnancy health. We are seeking an individual who is not only experienced in bioinformatics but also passionate about translating complex data into meaningful insights for health and well-being.

Job Responsibilities

  • Be responsible for industrial and academia projects in relation to multi-omics and human health.
  • Process and perform integrative analysis on omics datasets, including but not limited to proteomics, metabolomics, metagenomics, and metatranscriptomics.
  • Setup bioinformatics tools/workflow, and develop applications with R Shiny, Python Dash or Matlab.
  • Analyze data, interpret results and plan next step.
  • Draft, submit and revise manuscript for publication.
  • Perform general data and server housekeeping.

Job Requirements

  • A PhD degree in Bioinformatics/Data Science/Computational Biology/Biomedical research.
  • Strong analytical and programming skills (Python, R, Perl, or Matlab, UNIX environment).
  • Broad experience with modeling, machine learning, and deep learning.
  • Experience with proteomics, metabolomics, metagenomics, metatranscriptomics will be a plus.
  • Strong project management, written and communication skills.
  • Minimum 1 to 2 years experience. Candidates with no experience will also be considered.

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