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: Roseville, Minnesota