Research Officer, Lab of Metagenomic Technologies & Microbial Systems (GIS)
Salary undisclosed
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Key responsibilities:
Analyze and interpret microbiome sequencing datasets (metagenomics, metatranscriptomics).
Develop and optimize workflows and pipelines for large-scale microbiome data processing.
Apply statistical and machine learning techniques to identify microbiome patterns and biomarkers.
Integrate microbiome datasets with clinical and environmental data.
Collaborate with cross-functional teams to derive insights.
Document research findings, present at meetings, and contribute to scientific publications.
Stay updated on emerging bioinformatics methodologies and tools.
Requirements:
Type of Employment : Full-Time
Work Location : Biopolis
Analyze and interpret microbiome sequencing datasets (metagenomics, metatranscriptomics).
Develop and optimize workflows and pipelines for large-scale microbiome data processing.
Apply statistical and machine learning techniques to identify microbiome patterns and biomarkers.
Integrate microbiome datasets with clinical and environmental data.
Collaborate with cross-functional teams to derive insights.
Document research findings, present at meetings, and contribute to scientific publications.
Stay updated on emerging bioinformatics methodologies and tools.
Requirements:
- A Bachelor or Master degree in Computational Biology, Data Science, or a related field.
- Strong analytical and programming skills (Python, R, UNIX environment etc).
- Experience processing and analysing next generation sequencing (NGS) datasets.
- Familiarity with statistical approaches in biological data analysis.
- Interest in exploring biological questions relating to the human microbiome.
- Prior work in microbial genomics, microbiome datasets, or genomics/bioinformatics labs preferred.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills, both written and verbal.
- Ability to work independently and within a team.
Type of Employment : Full-Time
Work Location : Biopolis