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Forensic Scientist, DNA Database Laboratory

Agency: Health Sciences Authority
Job no.: 532742
Work type: Permanent/Contract
Location: Singapore
Categories:Economics/Statistics, Healthcare, Research and Analysis, Sciences (e.g. life sciences, bio-technology etc.), Statistics

At the Health Sciences Authority (HSA), we recognise the enormous challenge posed today by the biomedical sciences and the blurring of boundaries between healthcare products resulting from increasing convergence in the application of medical technology. It is right here in HSA, where we are uniquely equipped to meet this challenge. A statutory board formed on 1 April 2001, we play a vital role in supporting healthcare services and regulation, serving the administration of justice and enhancing safety in our community. We are responsible for the quality, safety and efficacy of medicines, medical devices, blood and its products and all health-related products available in Singapore. We provide a comprehensive regulatory service for the evaluation and marketing approval of all therapeutic products. We also provide scientific, investigative and analytical support for vital governmental functions such as forensic expertise for the courts, drug and criminal investigations and the regulation of food safety and industrial and environmental health.

Job Responsibilities

  • Conduct and supervise DNA analysis of crime samples.
  • Interpretation of forensic DNA results.
  • Preparation of reports and provision of expert Court testimony.
  • Conduct statistical analysis and development of new forensic DNA technologies.
  • Assist the Laboratory Director in general laboratory administrative matters and technical staff training.

Educational Qualifications:

  • Minimum Bachelor of Science degree in Life Sciences, with coursework modules in Mendelian Genetics, Biochemistry, and Molecular Biology, from a recognized university.
  • Higher degree (PhD) preferred, with coursework emphasis on (bio)statistics.


  • Preferably at least 1-2 years of work experience as a (bio)statistician in biology or clinical research setting with statistical software (e.g. R, SPSS, SAS) and programming languages (e.g. Python, Java, C++, Visual Basic).
  • Working experience with any of the following will be preferred: Bayesian statistics, likelihood ratios, multinomial regression, ROC analysis or machine learning.
  • Sound knowledge and proven expertise in applied statistical methodologies as evidenced by publications in international peer-reviewed journals.
  • Experience in analysis of genetic/population structure and divergence will be an advantage.
  • Excellent verbal and written communication skills.

Applications close:

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