Scientist, Microbiome Data Science & Bioinformatics

Overview

The Scientist (Microbiome Data Science & Bioinformatics) will translate large datasets into mechanistic and therapeutic hypotheses through omics analysis approaches and create novel analytical methods. The role requires enjoying a fast-paced environment, collaborating with others, and applying expertise to fuel biological discoveries and analytical advancement.

• 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, build, 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 and methodological innovations.
• Effectively present and defend scientific work in 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.

• Advanced degree (MS or Ph.D.) in bioinformatics, genomics, biostatistics or related biological field.
• Minimum of one year of experience in 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 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.

Roseville, Minnesota