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A leading biotech firm in Singapore seeks a motivated Data Scientist to analyze large-scale datasets and develop predictive models for clinical decision-making. Ideal candidates should have a Master’s or Ph.D. in a relevant field with strong programming skills in Python or R. Candidates will work collaboratively to drive scientific understanding and product innovation, requiring excellent communication and statistical modeling capabilities.
This project is with Histoindex, a company supported by SGInnovate under the Helix Immersion Programme. Helix is a 12-months on-the-job training programme designed to enable and create Deep Tech career opportunities for biomedical research and academic professionals, nurture and equip talent with industrially relevant skills and building technical-business bilingualism.
About Histoindex
HistoIndex specializes in stain-free AI digital pathology for drug development and clinical diagnosis. By leveraging a biophotonic imaging technique known as Second Harmonic Generation (SHG) and advanced AI image analysis, HistoIndex detects and quantifies morphological features such as fibrosis within tissues in a consistent and reproducible manner.
Project Description
We are seeking a highly motivated Data Scientist with a strong background in biology. The ideal candidate will be responsible for analyzing and modeling large-scale biological datasets to uncover meaningful insights that drive scientific understanding and product innovation at HistoIndex. The Data Scientist will contribute to the development of robust predictive models with clinical impact, for research and commercialization, and will have a strong scientific understanding of HistoIndex’s technology, services and activities.
This role requires expertise in data processing, statistical analysis, and machine learning, along with the ability to translate complex biological data into actionable findings.
Key Responsibilities:
Qualifications:
Project scope shall not be limited to the above. It may encompass other related tasks needed for the project/role assigned by the partner company.