
Scientific Data Analyst
12 hours ago
We are seeking a detail-oriented data professional to join our team. This role requires expertise in AI-assisted curation, API scrapping, data modeling and schema creation & manipulation.
- Identify, curate and annotate biological datasets from various omics/clinical modalities using APIs and AI tools.
- Automate curation of large interaction datasets decreasing curator workload.
- Build fit for purpose conceptual & logical data models.
- Have working knowledge of data models, use-case specific schema and standardize biological data using established ontologies and guidelines.
The ideal candidate will have a degree in Life Sciences, Bioinformatics or a related field with familiarity in bioinformatics tools and databases for data curation. Experience with programming languages like Python is a must.
A strong understanding of multi-omics data types, such as transcriptomics, proteomics and varied types of single-cell omics technologies is important for this role. Acquaintance with healthcare/clinical data exchange standards (OMOP, FHIR, HL7) is also required.
Key Responsibilities:- Data Curation: Identify, curate and annotate biological datasets from various omics/clinical modalities.
- Automation: Automate curation of large interaction datasets decreasing curator workload.
- Data Modeling: Build fit for purpose conceptual & logical data models.
- Data Standardization: Have working knowledge of data models, use-case specific schema and standardize biological data using established ontologies and guidelines.
- Bachelor's degree in Life Sciences, Bioinformatics or a related field.
- Experience with programming languages like Python.
- Familiarity with bioinformatics tools and databases for data curation.
- Strong understanding of multi-omics data types.
- Acquaintance with healthcare/clinical data exchange standards.
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