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Data Scientist 2
4 months ago
Responsibilities
Develop methods to integrate computational methods, systems-level models, and omics data to inform discovery of novel functions for proteins and small molecules Work in interdisciplinary teams to design, develop, and implement methods, processes, and systems to manage and analyze complex, high-dimensional, and high-volume omics data Metagenome assembly and the recovery of metagenome-assembled genomes (MAGs), integration of metagenomic/metatranscriptomics and metabolomics data to discover and analyze interkingdom metabolic interactions and computational prediction and experimental validation of metabolic pathways Develop multi-omic models and networks to predict the key molecular characteristics of assembling biofilms and underlying mechanism of virus-bacterial biofilm interactions
Qualifications
Minimum Qualifications:
BS/BA and 2 years of relevant experience -OR- MS/MA -OR- PhDPreferred Qualifications:
PhD. in bioinformatics, cheminformatics, computational biology, microbiology, biochemistry, or related fields is preferred.
Strong proficiency in scripting languages (Python, R)
Proficient working in software development platforms (GitLab, GitHub)
Demonstrated experience in microbial ecology, genome resolved metagenomics, meta-omic data and genome mining tools (biosynthetic gene clusters)
Experience with processing and interpretation of omics data including metagenomics, metatranscriptomics and/or metabolomics
Strong communications skills in an interdisciplinary environment
Strong problem-solving and analytical skills, creativity and the ability to work with abstract concepts to develop innovative analytical methods
Ability to lead specific components of the larger project and ability to work independently as well as a productive member of a team
Excellent project and time management skills
Additional Information
Not applicable
Testing Designated Position
This is not a Testing Designated Position (TDP).