Computational Biology Professor: AI, Data Science

Nanyang Technological University Singapore; Singapore; On-site; SGD 90,000 - 150,000; Full time

Benefits offered by this job

Attractive compensation package

Generous start-up funds

Laboratory space

Job summary

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.

Qualifications

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

Responsibilities

• 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.

Skills

AI-driven approaches for biology and medicine

Computational methods

Machine learning

Data science

Interdisciplinary research

Education

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

Job description

Assistant, Associate, or Full Professor in Computational Biology

The School of Biological Sciences (SBS), College of Science (CoS) at the Nanyang Technological University (NTU) in Singapore seeks outstanding candidates to apply for a tenure track faculty position at the Assistant or Associate Professor level, or a tenured Full Professor, in the field of Computational Biology, with a focus 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. The successful candidate is expected to show a strong commitment to departmental undergraduate and graduate mentoring and teaching. The successful candidate will join a vibrant, interdisciplinary research and teaching environment that bridges biological sciences, computational sciences, and clinical applications.

SBS covers several areas of research encompassing genetic, structural, biochemical, and cellular investigator-led projects offering many opportunities for interdisciplinary collaborations not only within the school but also with other departments in the university. SBS/NTU offers cutting edge infrastructures, such as state-of-the-art structural biology and biophysical facilities (Titan Krios Cryo-EM, Rigaku FRX X-ray generator, BLI, ITC), confocal microscopy, a complete set of proteomics facilities and a modern computer cluster. Researchers also benefit from campus-wide access to high-performance computing clusters. The successful candidate will have extensive opportunities to collaborate 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.
• A PhD or equivalent degree in Computational Biology, Bioinformatics, Biomedical Data Science, Computer Science, Statistics, or a related field.
• A strong publication record in reputable journals and/or conferences.
• Evidence of potential (Assistant Professor level) or established excellence (Associate or Full Professor level) in research, teaching, and academic service.
• A commitment to interdisciplinary research and collaborative science.
• Experience in securing or contributing to competitive research grants.
• 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 should include:

• 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 will also be helpful
  
  

(eg. 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 to 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 is 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.

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

Equal Employment Opportunity Statement

Equality, Diversity and Inclusion at NTU

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.