DATA SCIENTIST

MiRXES is a Singapore-headquartered molecular diagnostic company with R&D, manufacturing, and clinical lab operations in Singapore, USA, Japan, and China. We specialize in microRNA technologies and the development, manufacturing, and provision of diagnostic test kits and clinical services. Our mission is to enable early disease detection and provide insights for better patient care by harnessing the power of microRNA to augment traditional testing. Our vision is to be the world’s leading developer and provider of accurate, actionable, and affordable microRNA-powered diagnostic tests.
Job Location: Helios

JOB SUMMARY

The Data scientists will lead different projects, through the exploration from vast amount of data we generate in house to develop cancer diagnosis products. Data scientists will also collaborate with clinical, assay development, and product teams to guide project direction and design using data-driven insights.

DESIRED SKILLS AND COMPETENCIES

• PhD/MSc. in related science background
• At least 2 years of experience in developing multi-marker diagnostic models, including data processing and machine learning.
• Good understanding of diagnostic biomarker discovery and biomarker panel optimization
• Good coding skills
• In-depth experience with NGS is desired.
• In-depth experience with circulating nucleic acid analysis is desired.
• Good verbal communication, interpersonal skills, and ability to work in a team.

• Perform in-depth analysis on data with various machine learning and statistical methods.
• Discover hidden information in data; present data and analysis results in a logical and coherent manner to facilitate scientific contend creation.
• Through data analysis, identify novel DNA/RNA/ncRNA biomarkers for cancers OR develop models for multi-marker diagnostic test.
• Work with deep learning to integrate omics data with radiomics from CT and X-Ray images.
• Develop novel analytics tools and methods for better understanding of data, data generation process refinement and quality control.
• Facilitate the design and execution of experiment, process set up and quality control set up with statistical insights.
• Support other commercial activities.