Research Scientist (HY Lab), IMCB

A*STAR RESEARCH ENTITIES; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A leading research institution in Singapore is looking for a Bioinformatician / Computational Biologist to support cancer research. The position focuses on bioinformatics analyses, developing computational pipelines, and collaboration with experimental scientists. Candidates with a PhD in related fields and programming proficiency are encouraged to apply. This role offers an opportunity to work in an interdisciplinary team dedicated to innovative cancer therapies.

Qualifications

• PhD in Bioinformatics, Computational Biology, Data Science, Cancer Genomics, or a related field.
• Proficiency in at least one programming language for biological data analysis.
• Familiarity with NGS data, single-cell analysis, or protein modeling is advantageous.

Responsibilities

• Perform bioinformatics analyses for projects in antibody discovery.
• Develop computational pipelines for genomic and transcriptomic data integration.
• Collaborate with wet-lab scientists to interpret results.

Skills

Proficiency in Python

Bioinformatics analysis

Data Science

Teamwork skills

Education

PhD in Bioinformatics or related field

Tools

NGS data

Cloud computing tools

Job description

The HY Lab is dedicated to advancing innovative cancer therapies, with a strong focus on translational research targeting cancer-specific mutations. Supported by major national and industry-aligned programs, our mission is to accelerate platform development and clinical translation. Our research spans antibody discovery and engineering, bispecific antibody design, and T-cell–based immunotherapies, while also pioneering AI-driven and automated biomedical research pipelines.

We are currently seeking a Bioinformatician / Computational Biologist to join our interdisciplinary team.
Entry-level candidates are welcome; you will work closely with senior bioinformaticians and experimental scientists who will provide guidance and training.

Key Responsibilities

• Perform bioinformatics analyses for projects in antibody discovery, T-cell therapy, and multi-omics profiling (single-cell, spatial transcriptomics, and methylation sequencing).
• Develop and maintain computational pipelines for genomic, transcriptomic, and proteomic data integration.
• Collaborate with wet-lab scientists to interpret results and guide experimental design.
• Contribute to AI-assisted data analytics, automation, and visualization tools for translational research.
• Support data management, documentation, and reproducibility for internal and collaborative studies.

Job Requirements

• PhD in Bioinformatics, Computational Biology, Data Science, Cancer Genomics, or a related field.
• Proficiency in at least one programming language (e.g., Python, R, or Bash) for biological data analysis.
• Familiarity with NGS data, single-cell analysis, or protein modeling is advantageous.
• Strong motivation to learn and contribute to translational cancer research.
• Good communication and teamwork skills; ability to collaborate across computational and experimental disciplines.
• (Preferred) Experience with cloud computing or AI tools for bioinformatics workflows.