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5 days ago
We are seeking a detail-oriented professional to join our delivery team as a Data Quality Analyst. This role requires expertise in AI-assisted curation, API scrapping, data modeling and schema creation & manipulation. A strong understanding of multi-omics data types, like transcriptomics, proteomics and varied types of single-cell omics technologies is important for this role. Acquaintance with programming languages like Python and clinical data standards such as OMOP, FHIR, and HL7 is a must.
The ideal candidate will be responsible for identifying, curating and annotating biological datasets from various omics/clinical modalities, including transcriptomics, proteomics, H&E, clinical trials and single-cell data using APIs and AI tools.
Key Responsibilities:
- Curate large interaction datasets to decrease curator workload.
- Build fit-for-purpose conceptual and logical data models.
- Standardize biological data using established ontologies and guidelines.
- Ensure high-quality curation and consistency across multiple sources to deliver reliable results.
Requirements:
- A degree in Life Sciences, Bioinformatics or a related field (Master's preferred), with familiarity in bioinformatics tools and databases for data curation.
- Experience with programming languages like Python is a must.
- Skills: Git, basics of prompt engineering, API scrapping & LLM for scientific curation.
- Acquaintance with healthcare/clinical data exchange standards (OMOP, FHIR, HL7).
- Excellent interpersonal and communication skills, both written and verbal.
Good To Have:
- 1 year of curation experience, preferably in the life sciences industry.
- Hands-on experience using generative AI platforms and tools.
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