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.

Software Engineer – Mechanistic AI for Systems Biology

Research Program: Foundation AI for Multi-Omics Biological Intelligence (FABI)

We are seeking a highly motivated Software Engineer to develop next-generation computational platforms that integrate mechanistic systems biology with artificial intelligence. The successful candidate will work within an interdisciplinary team of AI scientists, computational biologists, and software engineers to build scalable research software for biological foundation models capable of understanding and predicting complex biological systems.

Key Responsibilities

Develop scalable software platforms for mechanistic AI and multi-omics data analysis.

Design and implement computational frameworks integrating biological networks, signaling pathways, gene regulatory networks, and causal models.

Build machine learning infrastructure for foundation AI models, graph neural networks, and knowledge-guided AI.

Develop software for dynamic systems biology, including ODE models, agent-based simulations, and constraint-based metabolic modelling.

Create robust data pipelines for single-cell, spatial, transcriptomic, proteomic, metabolomic, and clinical datasets.

Optimize software for high-performance computing using GPUs and distributed computing environments.

Develop APIs, visualization tools, and reproducible workflows following modern software engineering practices.

Collaborate closely with computational biologists and experimental scientists to translate research innovations into scalable software solutions.

Qualifications

MSc or PhD in Computer Science, Software Engineering, Computational Biology, Bioinformatics, Artificial Intelligence, or a related discipline.

Strong programming skills in Python; experience with C++, Julia, or Rust is advantageous.

Experience with AI frameworks such as PyTorch, JAX, or TensorFlow, and software development tools including Git, Docker, and Linux.

Familiarity with scientific computing, graph algorithms, cloud computing, or distributed systems is desirable.

Knowledge of computational biology, systems biology, or multi-omics data analysis is an advantage.

Desired Attributes

Strong analytical and problem-solving skills.

Passion for scientific software development and AI-driven biological discovery.

Ability to work effectively in interdisciplinary research teams.

Excellent communication and collaborative skills.

Join us to build the next generation of biologically interpretable AI systems that will transform precision medicine, drug discovery, and our understanding of living systems

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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