Assistant / Associate Professor (Tenure-Track) or Professor (Tenured) in Computational Biology

Nanyang Technological University Singapore; Singapore; Vor Ort; SGD 90.000 - 150.000; Vollzeit

Benefits dieser Stelle

Attractive compensation package

Generous start-up funds

Laboratory space

Zusammenfassung

Nanyang Technological University Singapore is seeking an Assistant, Associate, or Full Professor in Computational Biology. This tenure track faculty position focuses on AI, Data Science, and Bioinformatics.

The successful candidate will develop a research program, mentor students, and contribute to teaching. Ideal candidates will possess a strong publication record and experience in interdisciplinary collaboration. An attractive compensation package and support for research will be provided.

Qualifikationen

• Demonstrated excellence in research and teaching.
• Strong publication record in reputable journals.
• Experience in mentoring and supervision of students.

Aufgaben

• Develop an independent, high-impact research program.
• Contribute to teaching in bioinformatics and data science.
• Supervise and mentor PhD students and postdoctoral fellows.
• Engage in interdisciplinary projects and collaborations.

Kenntnisse

AI-driven approaches for biology and medicine

Computational methods

Machine learning

Data science

Interdisciplinary research

Ausbildung

PhD or equivalent in Computational Biology, Bioinformatics, Biomedical Data Science, Computer Science, or Statistics

Jobbeschreibung

Assistant, Associate, or Full Professor in Computational Biology

The School of Biological Sciences (SBS), College of Science (CoS) at Nanyang Technological University (NTU) in Singapore seeks outstanding candidates for a tenure track faculty position at the Assistant or Associate Professor level, or a tenured Full Professor, in the field of Computational Biology, focusing on Data Science, Artificial Intelligence (AI) in Biology, and Bioinformatics.

We welcome candidates working in, but not limited to:

• AI-driven approaches for biology and medicine
• Systems biology and modeling of biological networks
• Causal inference and interpretability in biomedical AI
• Single-cell, multi-omics and spatial omics data integration and analysis

SBS is searching for individuals with a well-defined research vision and an outstanding track record of publications in top journals. The successful candidate will establish and maintain an independent extramurally funded research program, show strong commitment to departmental undergraduate and graduate mentoring and teaching, and join a vibrant interdisciplinary research and teaching environment bridging biological sciences, computational sciences, and clinical applications.

SBS covers several research areas (genetic, structural, biochemical, cellular investigator-led projects) offering many opportunities for interdisciplinary collaborations within the school and with other departments. SBS/NTU offers cutting-edge infrastructures (state-of-the-art structural biology and biophysical facilities such as Titan Krios Cryo-EM, Rigaku FRX X-ray generator, BLI, ITC), confocal microscopy, full proteomics facilities, a modern computer cluster, and campus-wide access to high-performance computing clusters. Researchers also benefit from collaborations with other schools and national research centres such as A*STAR and the Singapore Centre for Environmental Life Sciences Engineering (SCELSE), making NTU an ideal environment for pioneering research in biomedical data science.

Requirements

• Develop and lead an independent, high-impact research program in biomedical data science.
• Apply and/or develop cutting-edge computational methods, including machine learning and AI, to address fundamental questions in biology, medicine, or public health.
• Contribute to undergraduate and graduate teaching in bioinformatics, data science, and related disciplines.
• Supervise and mentor PhD students, postdoctoral fellows, and junior researchers.
• Collaborate with faculty across departments and engage in interdisciplinary projects.
• Contribute to the academic community through service and leadership activities.
• Hold a PhD or equivalent degree in Computational Biology, Bioinformatics, Biomedical Data Science, Computer Science, Statistics, or a related field.
• Maintain a strong publication record in reputable journals and/or conferences.
• Show evidence of potential (Assistant Professor level) or established excellence (Associate or Full Professor level) in research, teaching, and academic service.
• Commit to interdisciplinary research and collaborative science.
• Possess experience in securing or contributing to competitive research grants.
• Show ability to work across disciplines, including biology, medicine, and data science.

Emoluments

The candidate will be offered an attractive compensation package and will be supported by generous start-up funds and laboratory space.

Application Package

• Cover Letter (what you have to offer and why you chose NTU)
• Full Curriculum Vitae (CV) including detailed publication list with Google Scholar / Scopus link
• Any additional information that may be helpful (number of graduate students supervised, information on grants, patents, research/teaching awards)
• Research Statement (around 1-2 pages)
• Teaching Statement (around 1-2 pages)
• Service/Future Aspirations Statement, if any (around 1-2 pages)
• Detailed proposal of your research project/proposal (around 5 pages)
• Encouraged to provide at least 3 external referee reports, which may support the evaluation process. All referees should hold an academic position that is at least one rank higher than the appointment.

Please clearly indicate the position applied for in your application. Only shortlisted candidates will be notified.

Diversity Statement

SBS and CoS seek a diverse and inclusive workforce and are committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

Equal Employment Opportunity Statement

NTU believes in building an inclusive campus for its students, staff and faculty where diversity is respected. We strive to create diverse and inclusive environments to achieve a vibrant campus for education and a welcoming workplace for people from all backgrounds.

If there are any enquiries, please seek more information from Search Chair at [e-mail]