Bioinformatician (JL Lab), IMCB (1548)

A*STAR Research Entities (A*STAR); Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

A Bioinformatician position at the IMCB Cell Fate and Therapeutics Laboratory, part of A*STAR, is available immediately. The role focuses on dissecting regulatory switches in cell fate determination across health and disease, while developing tools for therapeutic cell derivation.

The candidate will engage in interdisciplinary collaborations, employ open-source bioinformatics pipelines, and contribute to advancing sequencing data analyses for Spatial-seq, ChIP-seq, and transcriptomics.

Qualifications

• Ph.D. from a well-recognized institution with a strong research background in Bioinformatics/Computer science/Biostatistics or equivalent.
• Experience in bioinformatics and data analysis for Spatial-seq, ChIP-seq, Transcriptomics and Single-cell analytics
• Experience with open-source bioinformatics tools
• Excellent analytical, technical and problem-solving skills
• Self-starter who is comfortable working in a fast moving interdisciplinary team

Skills

Bioinformatics

Data analysis

Spatial-seq

ChIP-seq

Transcriptomics

Single-cell analytics

Biostatistics knowledge

Communication skills

Interdisciplinary collaboration

Education

Ph.D. in Bioinformatics/Computer Science/Biostatistics or equivalent

Tools

Open-source tools

Job description

Job Description

A Bioinformatician position is available immediately at the IMCB Cell Fate and Therapeutics Laboratory. The lab is interested in dissecting the regulatory switches regulating cell fate determination in healthy and diseased states, while developing novel tools and strategies in deriving desired cell types for therapeutic applications.

Applicants with strong background in Bioinformatics and next-generation sequencing data analysis are invited to apply. Successful candidates must be highly motivated, have passion for research and be able to work in an interdisciplinary environment.

Job Requirements

• Ph.D. from a well-recognized institution with a strong research background in Bioinformatics/Computer science/Biostatistics or equivalent
• Experience in bioinformatics and data analysis for Spatial-seq, ChIP-seq, Transcriptomics and Single-cell analytics
• Experience with open-source bioinformatics tools
• Excellent analytical, technical and problem-solving skills
• Knowledge with biostatistics highly desirable
• Self-starter who is comfortable working in a fast moving interdisciplinary team
• Committed and able to work flexible hours
• Excellent communication, technical writing and presentation skills