Imaging Informatics Division
 

The Bioinformatics Institute (BII) is a member of the Agency for Science, Technology and Research (A*STAR) Biomedical Sciences Institutes in Singapore. As a national research and postgraduate training institute in computational biology, the BII focuses on theoretical approaches aimed at understanding biomolecular mechanisms that underlie biological phenomena, the development of computational methods to support this discovery process, and experimental verification of predicted molecular and cellular functions of genes and proteins with biochemical methods.

Positions Available
 

 Postdoctoral Fellow in Computational Toxicology

A postdoctoral research fellow position in the area of computational toxicology is available in the Loo lab at the Bioinformatics Institute (BII), A*STAR, Singapore. The group is interested in studying chemical-induced toxicity using quantitative data modeling and cellular imaging methods. The group has recently developed the first high-throughput cellular imaging and computational platform for predicting kidney toxicity.

The successful candidate will be part of an interdisciplinary team that develops novel in vitro and computational models for predicting the toxicity of drugs, food ingredients, industrial chemicals, and environmental pollutants. He/she will develop new computational methods to analyze and model cellular responses based on chemical structures, cellular phenotypes, and gene and protein expression profiles. The candidate will have the opportunity to work in a highly stimulating environment, and participate in the global effort to develop next-generation and animal-free technologies for chemical safety assessment.

Qualifications:
Candidates must have a strong quantitative background, with a Ph.D. in either biomedical engineering, computational biology, chemical engineering, chemistry, toxicology, pharmacology, computer science, or other related fields. Candidates must also have a minimum 3 years of experience working on computational toxicology related research problems. Strong knowledge in machine learning, data mining, regression analysis, statistics, and programming (R and/or Python) are required. Candidates with previous experience in chemical risk assessment, PBPK modeling, cheminformatics, bioinformatics, or QSAR modeling are especially encouraged to apply. Candidates must also possess good communication skills, and be fluent in both spoken and written English.

Application Procedures: Applicants should send

  1. a one-page cover letter briefly describing prior research experience and accomplishments,
  2. a one-page statement of research interests,
  3. CV,
  4. contact information of two references, and
  5. reprints of one to two publications
to Dr. Loo Lit Hsin (loolhbii.a-star.edu.sg).
 

Only shortlisted candidates will be notified.
 

 
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