The key areas of responsibilities of this job include, but are not limited to:

• Working closely with scientists for methodologies optimization including design and planning of experiments and assays
• Independently conduct laboratory experiments to gather data for major research projects
• Review ongoing literature and related research articles for research and development of new protocols.
• Perform essential laboratory work such as extraction, purification, and QC of nucleic acids from diverse microbiome specimens, and preparation of stocks, buffers, and reagents with sterile technique.
• Perform NGS library preparations/quality assessments and PCR, qPCR and gel electrophoresis
• Run and maintain next-generation sequencers and perform basic microbiome data analysis
• Organizing and summarizing data and metadata, in collaboration with team
• Create and revise laboratory protocols, documents, and SOPs as needed
• Maintain a high standard of ethics, and honesty to meet the quality standards, objectives, and goals.

Education and professional requirements include, but are not limited to:

• Master’s degree or higher (Microbiology/Biology/Chemistry or related field)
• Excellent experimental skills and a strong background in the latest molecular biology and genomics methodologies.
• Minimum of 1-year research experience in microbiome using NGS technology
• Experience with NGS library preparation, and NGS sequencing operations and maintenance will be preferred
• Experience with DNA and sequencing library QC methods
• Ability to maintain detailed records of experiments and outcomes.
• Ability to communicate and work independently with minimal supervision
• Strong verbal/written and interpersonal communication skills in English
• The ability to produce high-quality work on complex problems with cross-functional involvement; to anticipate and proactively prevent risks and compromises to quality
• Highly detail-oriented, have strong organizational skills
• Broadly knowledgeable in bioinformatics techniques for comparative genomics, transcriptomic or metagenomic data analysis. Hands-on experience in NGS data analysis preferred.