Research Scientist — Molecular Biology & Genomics

A*STAR RESEARCH ENTITIES; Singapore; On-site; SGD 65,000 - 90,000; Full time

Job summary

A leading research institution in Singapore is looking for a dynamic PhD graduate to join as a Research Scientist. This role emphasizes both wet-lab experiments and bioinformatics data analysis, requiring hands-on experience in molecular biology, cell culture, and programming skills in R and Python. Candidates with expertise in genomics workflows and a collaborative approach will thrive in this diverse research environment. It's an excellent opportunity to contribute to innovative bio-pharma projects in a multidisciplinary team.

Qualifications

• Demonstrated experience with hands-on laboratory work and bioinformatics.
• Solid experience with mammalian cell culture and iPSC techniques.
• Strong technical background in DNA cloning and genome editing.
• Experience in analyzing genomics sequencing data preferred.
• Strong programming skills with R and Python for data analysis.
• Ability to manage analytical projects for robustness and reproducibility.
• Excellent communication and teamwork skills.

Responsibilities

• Support BPIS in setting up in vitro assays for various applications.
• Maintain mammalian cell lines and execute differentiation protocols.
• Develop models for neurotoxicity and drug screening studies.
• Execute DNA sequencing workflows and genomic data analyses.
• Integrate wet- and dry-lab workflows for project success.
• Lead development of new analytical approaches and publications.

Skills

Laboratory experience in molecular biology

Bioinformatics data analysis

Proficiency in R and Python

Cell culture skills

DNA cloning and vector design

Excellent communication skills

Education

PhD in Molecular Biology or related discipline

Tools

RStudio

Bioconductor

Job description

A leading research institution in Singapore is looking for a dynamic PhD graduate to join as a Research Scientist. This role emphasizes both wet-lab experiments and bioinformatics data analysis, requiring hands-on experience in molecular biology, cell culture, and programming skills in R and Python. Candidates with expertise in genomics workflows and a collaborative approach will thrive in this diverse research environment. It's an excellent opportunity to contribute to innovative bio-pharma projects in a multidisciplinary team.