Job Summary
The Data Scientist will lead different projects, through the exploration from vast amount of data we generate in house to develop cancer diagnosis products.
This person will also collaborate with clinical, assay development, and product teams to guide project direction and design using data-driven insights.
Roles and Responsibilities
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.
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
Location:
Helios
This position is based in Singapore.
We appreciate your interest in the above-mentioned position, however, due to overwhelming response, only shortlisted candidates will be contacted.
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