Scientist, Microbiome Data Science & Bioinformatics

Job Description:

Scientist, Microbiome Data Science & Bioinformatics

Summary:   The Scientist (Microbiome Data Science & Bioinformatics) will translate large datasets into mechanistic and therapeutic hypotheses through omics analysis approaches and create novel analytical methods. We are looking for someone who enjoys a fast-paced environment, effectively collaborates with others, and who can apply their expertise to fuel biological discoveries and analytical advancement.

Responsibilities:         

• Lead qualitative and quantitative human microbiome research, including data mining, data analyses, and interpretation of findings from clinical trials and research studies that align with company goals
• Create, curate and maintain datasets, databases and resources for annotation and use of complex omics data
• Lead integrated data mining and translation of bioinformatic insights for R&D, pre-clinical and clinical initiatives
• Conceptualize, building, test, and benchmark gold standard and novel bioinformatic methods
• Use and improve continuous deployment models, containerization, cloud computing, and agile practices
• Independently achieve project-specific deliverables with stakeholders (internal and external) through collaboration, requirements gathering, and timeline management
• Contribute to publications in peer-reviewed journals, as well as any methodological innovations
• Effectively present and defend scientific work in the form of internal and external presentations
• Critically evaluate primary literature for design and analysis of appropriate experiments to reach timely project Go/No-Go decisions
• Continuously learn in the fields of bioinformatics, computer science and biology including the latest methodologies, techniques, and resources

Requirements:

• Advanced degree (e.g. MS or Ph.D.) in bioinformatics, genomics, biostatistics or related biological field
• Minimum of one year of experience in the field of omics sciences, preferably the microbiome
• Proficiency in developing, deploying, and running cloud-based bioinformatic workflows
• Proven experience in Linux, AWS, coding in Python and R
• Excellent writing, communication, and other organizational skills including documentation & data organization
• Proven experience in statistical computing for data mining, exploratory analysis and biomarker discovery related to the microbiome or other -omes

Location: