Director, Precision Health & Genomics Platform

National University of Singapore

Singapore

On-site

SGD 180,000 - 280,000

Full time

7 days ago
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Job summary

The National University of Singapore seeks a senior scientific leader to drive computational and data-science initiatives across PHI@NUS. You will translate strategic vision into executable programmes, guiding research leaders, data governance, and cross-institutional collaborations to advance precision health.

Applicants should have a PhD/MD with a strong track record in computational biology, genomics and AI adoption in life sciences, plus 10+ years of post-PhD experience and leadership across

Qualifications

  • PhD and/or MD in a relevant biomedical data science field.
  • Extensive experience leading research groups and multi-institution projects.
  • Strong publication and/or patent track record.

Responsibilities

  • Lead centralized computational and data-science platform across three institutions.
  • Provide scientific direction in bioinformatics, population/genomic statistics and AI adoption.
  • Drive governance, data sharing frameworks and model validation standards.
  • Translate strategic priorities into seed and pilot programmes with clear milestones.
  • Build and mentor senior staff scientists and foster cross-institution collaborations.
  • Oversee fund-tracking, project management and compliance with governance frameworks.

Education

PhD and/or MD in computational biology, genetics/genomics, bioinformatics or biomedical data science
10+ years post-PhD experience
Academia and industry experience
Publication and/or patent record

Job description

The National University of Singapore seeks a senior scientific leader to drive computational and data-science initiatives across PHI@NUS. You will translate strategic vision into executable programmes, guiding research leaders, data governance, and cross-institutional collaborations to advance precision health.

Applicants should have a PhD/MD with a strong track record in computational biology, genomics and AI adoption in life sciences, plus 10+ years of post-PhD experience and leadership across

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