Lead Data Scientist - Cancer Biomarker & AI

MIRXES PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

MiRXES, a Singapore-headquartered molecular diagnostics company, seeks a Data Scientist to lead data science, bioinformatics, and ML projects supporting cancer diagnostic products. You will analyze in-house clinical and molecular data to identify biomarkers and develop diagnostic models guiding study design and product development.

The role involves close collaboration with clinical, assay, and product teams, mentoring junior data scientists, and contributing to AI capabilities including medical

Qualifications

• Master's degree or PhD in Data Science, CS, Bioinformatics, or related quantitative field.
• 2–5 years of experience building ML/deep-learning models in biomedical context preferred.
• Experience with high-dimensional biological/clinical datasets and omics data.
• Hands-on ML project lifecycle: preprocess, train, validate, interpret.

Responsibilities

• Lead data science and ML projects for cancer biomarker discovery and diagnostic models.
• Identify DNA/RNA/ncRNA biomarkers and develop multi-marker models.
• Develop analytics workflows from data processing to model evaluation.
• Support AI capabilities including medical image analysis where relevant.
• Collaborate with clinical, assay and product teams to steer project direction.
• Mentor data scientists and bioinformaticians in ML and statistical analysis.
• Improve data literacy and promote data-driven decision making in R&D.
• Provide statistical input for experimental design and assay validation.
• Support scientific communication, collaborations, and some commercial activities.

Skills

Python

PyTorch

scikit-learn

Deep learning

ML workflows

Data visualization

Education

Master's or PhD in Data Science/CS/Bioinformatics

Tools

PyTorch

scikit-learn

CNNs/Transformers

Job description

MiRXES, a Singapore-headquartered molecular diagnostics company, seeks a Data Scientist to lead data science, bioinformatics, and ML projects supporting cancer diagnostic products. You will analyze in-house clinical and molecular data to identify biomarkers and develop diagnostic models guiding study design and product development.

The role involves close collaboration with clinical, assay, and product teams, mentoring junior data scientists, and contributing to AI capabilities including medical