Data Scientist - Singapore - NATIONAL CANCER CENTRE OF SINGAPORE PTE LTD

Description

Roles & Responsibilities

The Data Scientist role is to help the team in driving and maintaining a shared platform for clinical and genomic data recording and analysis, as well as biological specimens tracking, for local and regional research projects mainly managed by National Cancer Centre Singapore. The incumbent will also support scientific research projects in NCCS through data science applications.

Key Responsibilities:

• Genomics Pipelines

Work with the team to build pipelines on BC Platform (AWS) such that genomic data can be processed effectively

Organize the database such that all genomic and clinical data are linked and easily retrieved

Build the pipelines for federated data sharing

• Data Analysis

-Perform data analysis and visualization work to support research projects, grant applications, and publications

• Database Management

Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

Perform data cleaning, data standardization, and data structuring for data in the database

Requirements:

• At least BSc in a relevant field (biology or bioinformatics or computational science)
• At least 2 years of work experience in data science/ genomic data, with working knowledge of clinical and genomic data workflows
• Technical experience in at least 1 of the following areas: Linux/cluster environments, computational genomic workflows (e.g. GATK), relational databases, Docker, cloud computing (e.g. AWS) and/or other data science systems
• Possess an understanding of medical and clinical research terminology
• Project management experience in oncology studies in a clinical trial laboratory services organization will be an advantage
• Good planning skills with ability to collaborate with multiple stakeholders concurrently
• Strong interpersonal skills

Tell employers what skills you have

Genomics
Data Sharing
Cancer Research
Data Analysis
Clinical Research
Pipelines
Oncology
Clinical Data Management
Biology
Bioinformatics
Publications
Data Science
Visualization
Case Management
Cancer Genomics
Laboratory
Databases
Clinical Data