Life Science Data Analyst
6 days ago
We are seeking a skilled Data Quality Analyst to join our team. The ideal candidate will have expertise in AI-assisted curation, API scrapping, data modelling and data schema creation & manipulation.
This role requires a strong understanding of multi-omics data types, like transcriptomics, proteomics and varied types of single-cell omics technologies.
Additionally, the candidate should be familiar with programming languages like Python and clinical data standards such as OMOP, FHIR, and HL7.
Responsibilities:- Curate and annotate biological datasets from various omics/clinical modalities, including transcriptomics, proteomics, H&E, clinical trials and single-cell data using APIs and AI tools.
- Automate curation of large interaction datasets decreasing curator workload.
- Build conceptual & logical data models suitable for omics data.
- Ensure high-quality curation and consistency across multiple sources to deliver reliable results.
- 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.
- Opportunity to grow in the field of omics data and work on cutting-edge AI technology.
- Chance to develop expertise in AI-assisted curation and data modeling.
- Work with cross-functional teams to gather requirements and ensure alignment on biological data curation standards.
- Provide clear and timely updates to stakeholders on the progress of data curation tasks, ensuring transparency and alignment with project goals.
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