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Engineering 🏢 Full Time ⭐️ Terverifikasi

Project Officer (Genomics)

Nanyang Technological University
Singapore
Estimasi Gaji
Negosiasi
Live Update
3 Mei 2026
Batas Akhir
3 Mei 2027

Deskripsi Pekerjaan

Nanyang Technological University (NTU) is seeking a talented Project Officer (Genomics) to join our leading research team in Singapore. This is an exciting opportunity for professionals passionate about computational biology and genomics research.

In this role, you will work alongside world-class researchers at one of Asia's premier universities, contributing to groundbreaking projects that bridge computational approaches with biological discoveries. The position offers exposure to cutting-edge genomics technologies and collaboration with interdisciplinary teams.

You will be responsible for managing project timelines, coordinating research activities, and ensuring deliverables meet scientific standards. The ideal candidate thrives in dynamic research environments and possesses strong analytical capabilities.

NTU offers a supportive academic environment with state-of-the-art facilities, competitive compensation packages, and opportunities for professional development in a vibrant, internationally diverse campus community.

Tanggung Jawab

  • Coordinate and manage genomics research projects from planning through execution and delivery
  • Perform computational biology analyses including genomic data processing, sequence alignment, and variant calling
  • Develop and optimize bioinformatics pipelines for large-scale genomic datasets
  • Collaborate with interdisciplinary research teams to integrate computational approaches with experimental biology
  • Prepare detailed project reports, documentation, and presentations for stakeholders
  • Maintain laboratory databases and ensure data quality, integrity, and reproducibility
  • Support grant applications and contribute to research publications
  • Mentor junior research staff and coordinate research assistants as required

Kualifikasi

  • Bachelor's or Master's degree in Bioinformatics, Computational Biology, Genetics, Genomics, or related life sciences field
  • Proficiency in programming languages such as Python, R, or Perl for biological data analysis
  • Experience with genomics tools and databases (BLAST, UCSC Genome Browser, Ensembl, etc.)
  • Strong understanding of molecular biology principles and genomic technologies
  • Excellent analytical and problem-solving abilities with attention to detail
  • Effective communication skills for both technical and non-technical audiences
  • Ability to work independently and collaboratively in a team-based research environment
  • Prior research experience in academic or industry settings is advantageous

Keahlian yang Dibutuhkan

genomics computational biology bioinformatics Python R data analysis genomic sequencing variant analysis pipeline development research coordination

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