Full-timeHealthcare & care· Posted 2 Oct

Research Fellow (CBDS/CJM)

Duke-NUS Medical SchoolFrom company site

Salary

Not stated by the company

When

Full-time hours

Where

OutramOutram Campus, Singapore

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Start: Not stated
Work mode: On-site
Experience: Some experience

About the role

A research fellow position is available in Dr Chen Jinmiao's laboratory at the Centre for Biomedical Data Science (CBDS), Duke-NUS Medical School, Outram Campus. The role focuses on AI-driven analysis of single-cell and spatial omics data to support precision medicine, and would suit a recent PhD graduate with strong computational and bioinformatics skills who enjoys independent research within a collaborative team.

What you'll do

Build new computational tools by applying AI, deep learning, machine learning and statistics to spatial and single-cell omics data, including transcriptomics, proteomics, epigenomics, metabolomics and meta-transcriptomics.

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Carry out computational and bioinformatics analysis independently for large-scale spatial and single-cell omics and next-generation sequencing studies.

Apply qualitative and quantitative research methods, including in-depth assessment, interpretation and evaluation of omics datasets, and develop ideas and plans for independent research in single-cell, spatial and other omics modalities.

Write and review research papers and present research findings.

Handle routine research duties such as data curation and data backups as needed.

Support project management and provide guidance to junior researchers, undergraduates and graduate students, including occasional teaching activities.

Perform other related duties incidental to the work described.

Good to know

Based at Outram Campus, Singapore.
Employee referral is not eligible for this position.
Only shortlisted candidates will be notified.

Requirements

PhD in a related scientific field such as AI, deep learning, machine learning, statistics, database, bioinformatics, computational biology, computer science, data science, data analytics or biology
Hands-on experience in bioinformatics and genetics or genomics data analysis
Familiarity with handling and manipulating omics datasets, including spatial transcriptomics, RNA-seq and single-cell RNA-seq
Proficiency in R or Python and Linux or Bash
Experience with additional computational platforms and applications such as quantum computing, Perl or Java is preferred
A team player able to prioritise, multi-task and work collaboratively in a diverse workforce

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Duke-NUS Medical School

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Research Fellow (CBDS/CJM)

About the role

What you'll do

Good to know

Requirements

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