Ferring
Scientist, Microbiome Data Science & Bioinformatics
Minneapolis, Minnesota, United States
Sponsorship not specifiedDetected 6 days ago
PythonAWSCI/CDLinuxData ScienceAgileClinical TrialsBioinformaticsResearchCommunicationCollaborationPublic SpeakingOrganizational SkillsBiostatistics
About the role
- 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
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
- Critically evaluate primary literature for design and analysis of appropriate experiments to reach timely project Go/No-Go decisions
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
- Proven experience in statistical computing for data mining, exploratory analysis and biomarker discovery related to the microbiome or other -omes
Company info
- 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.
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