Job Opportunities

Postdoctoral Researchers in Computational Biology, Biomedical AI, and Multi-Omics for Cancer Drug Discovery

Location: Taizhou Research Institute, Zhejiang University, Taizhou city, Zhejiang, China
Position Type: Full-time, Fixed-term (2 years, with possible extension)
Start Date: 1st August 2026 onwards

Position Overview

The Zhejiang Key laboratory for Preclinical Research of Antitumor Drugs is seeking highly motivated and interdisciplinary Postdoctoral Researchers to join our team at the intersection of computational biology, biomedical artificial intelligence (AI), and multi-omics data integration. The successful candidate will contribute to cutting-edge research aimed at accelerating next generation of cancer drug discovery through advanced computational modeling, machine learning, and integrative analysis of large-scale biological datasets.

Key Responsibilities

• Develop and apply computational and AI-driven methods to analyze multi-omics datasets (e.g., genomics, transcriptomics, proteomics, metabolomics).

• Design predictive models for drug response, target identification, and biomarker discovery in oncology.

• Integrate heterogeneous biomedical datasets, including clinical, molecular, and pharmacological data.

• Collaborate with experimental biologists, clinicians, and data scientists to translate computational findings into biological and therapeutic insights.

• Implement reproducible data analysis pipelines and maintain high standards of scientific rigor.

• Contribute to manuscript preparation, grant writing, and dissemination of research findings at conferences and in peer-reviewed journals.

• Mentor graduate students and support collaborative research activities within the institute.

Required Qualifications

• PhD in Computational Biology, Bioinformatics, Systems Biology, Computer Science, Biomedical Engineering, or a related field.

• Strong programming skills in Python, R, or similar languages.

• Experience with machine learning/deep learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

• Demonstrated expertise in analyzing large-scale omics datasets.

• Solid understanding of cancer biology and/or pharmacology.

• Track record of peer-reviewed publications in relevant fields.

Preferred Qualifications

• Experience with multi-omics data integration and network-based modeling approaches.

• Familiarity with drug discovery pipelines, cheminformatics, or structural biology.

• Knowledge of cloud computing platforms (e.g., AWS, Google Cloud) and high-performance computing environments.

• Experience with single-cell omics data and spatial transcriptomics.

• Strong communication skills and ability to work in interdisciplinary teams.

Research Environment

The Taizhou Research Institute, Zhejiang University is a premiere research center that offers a collaborative and dynamic research environment with access to state-of-the-art computational infrastructure and high-quality biomedical datasets. The institute actively fosters interdisciplinary collaboration across academia, clinical partners, and industry, providing a strong platform for translational cancer research.

Compensation and Benefits

• Competitive salary commensurate with experience.

• Housing allowance and relocation support (subject to institute policies).

• Access to institutional benefits (health insurance, retirement plans, etc.).

• Professional development opportunities and conference travel support.

Application Instructions

Interested candidates should submit:

1. Curriculum Vitae (CV)

2. Cover letter outlining research interests and relevant experience

3. Contact information for 2–3 references

4. Links to code repositories or published work

Please send applications to:
Application deadline: 30th July 2026 or until suitable candidates are filled

Equal Opportunity Statement

Zhejiang University is an equal opportunity employer committed to diversity and inclusion. We encourage applications from candidates of all backgrounds.

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