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Research Fellow (Mechanobiology Institute)

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National University of Singapore (NUS)

Kent Ridge Campus

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Research Fellow (Mechanobiology Institute)

Research Fellow

July 27, 2026

Location

Kent Ridge Campus, Singapore

National University of Singapore (NUS)

Type

Full-time Postdoctoral

Visa Sponsorship

Available for international candidates

Required Qualifications

PhD in computational biology, systems biology, biophysics or similar
Expertise in machine learning and bioinformatics required
Strong computational and experimental skills
Ability to train graduate students
Proven independent research and teamwork

Research Areas

Vascular Mechano-medicine
Computational Biology & ML
Bioinformatics & Image Analysis
Cell/Tissue Biology
Cardiovascular Aging & Disease
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Research Fellow (Mechanobiology Institute)

Job Description

The Mechanobiology Institute (MBI) at the National University of Singapore (NUS) is a leading multi-disciplinary institute devoted to developing new paradigms for understanding biological functions in health and diseases from the perspective of cell, tissue and organ mechanics/dynamics and mechano-signal transduction. The institute operates on a fully integrated open-lab philosophy, with an extensive infrastructure supported by core facilities dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing.

We are seeking a highly motivated Postdoctoral Research Fellow in the Vascular Mechano-medicine Lab of Dr. Shailaja Seetharaman at the MBI and Department of Physiology, Yong Loo Lin School of Medicine, NUS. The Vascular Mechano-medicine Lab (https://www.mechano-medicine-lab.com/) decodes and engineers the fundamental feedback mechanisms driving vascular tissue function in health and disease, with the goal of translating these discoveries into disease prediction and novel therapeutic strategies.

The Research Fellow will combine computational approaches with cell/tissue biology to uncover how vascular mechanobiology goes awry in cardiovascular aging and disease. The Research Fellow’s key responsibilities will include:

  1. Developing and utilizing computational approaches including machine learning models, image analysis pipelines, and bioinformatics analyses;
  2. Designing and conducting experiments integrating microscopy, transcriptomics, and microfabrication to provide mechanistic insights into the regulation of the vasculature;
  3. Driving their independent research and working collaboratively with researchers, graduate students, and external partners to support project goals;
  4. Setting up and following standard operating procedures and protocols for various computational tasks and experimental methods, and supporting day-to-day lab operations;
  5. Supporting and training graduate students, research assistants and/ or interns in the lab as needed;
  6. Ensuring adherence to lab safety protocols and regulatory compliance.

The Research Fellow will join a thriving research environment that offers opportunities for collaboration across MBI, Physiology, NUS, and international partners, as well as opportunities to present research at national and international conferences.

Qualifications

  • A PhD in computational biology, systems biology, biophysics, cell biology, bioengineering, or similar fields
  • Expertise in computational approaches such as machine learning and bioinformatics is required
  • Expertise in genetic screening and -omics approaches will be advantageous
  • Expertise in routine cell biology, molecular biology, biochemistry, and microscopy, and prior knowledge of mechanobiology, biophysical tools, and microfabrication will be advantageous
  • Proven ability to work independently and as part of a collaborative team
  • Proven ability to train graduate students, Master’s students, or research assistants
  • Strong organizational, communication, and teamwork skills, and a keen desire for project management
  • Demonstrated ability to multitask and manage responsibilities effectively in a research environment

To Apply

Interested applicants should include a cover letter (with statement of research interest and career goals), curriculum vitae (CV), and the contact information of 3 references consolidated in a single PDF file. Informal enquiries are welcome and should be made to Dr. Shailaja Seetharaman at shailaja@nus.edu.sg.

We regret that only shortlisted candidates will be notified.

Tell them AcademicJobs.com sent you!

Frequently Asked Questions

🎓What are the key eligibility requirements for this Research Fellow position?

Applicants need a PhD in computational biology, systems biology, biophysics, cell biology, bioengineering or related fields. Expertise in machine learning and bioinformatics is required. Experience in genetic screening, -omics, cell biology, microscopy, or mechanobiology is advantageous. Candidates must demonstrate independent research ability and experience training graduate students.

📝How do I apply for the Research Fellow role at NUS MBI?

Submit a single PDF containing a cover letter (research interests + career goals), CV, and contact details for 3 references. Email informal enquiries to Dr. Shailaja Seetharaman at shailaja@nus.edu.sg. Only shortlisted candidates will be contacted.

🔬What is the research focus of the Vascular Mechano-medicine Lab?

The lab decodes feedback mechanisms in vascular tissue function using computational approaches (machine learning, image analysis, bioinformatics) combined with experimental methods (microscopy, transcriptomics, microfabrication) to study cardiovascular aging and disease.

🤝Are there collaboration and career development opportunities?

Yes. The role offers collaboration across MBI, Physiology, NUS, and international partners, plus opportunities to present at national and international conferences. See our postdoc success guide for career tips.

🧪What support is available for graduate students and lab operations?

The Research Fellow will help set up SOPs, support day-to-day lab operations, ensure safety compliance, and train graduate students, research assistants, and interns as needed.

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