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3 days ago
The role involves curating and annotating biological datasets from various sources, including transcriptomics, proteomics, and clinical trials. This requires expertise in AI-assisted curation, API scraping, data modeling, and data schema creation & manipulation.
Responsibilities:- Identify and automate the curation of large interaction datasets to reduce curator workload.
- Develop fit-for-purpose conceptual & logical data models.
- Standardize biological data using established ontologies and guidelines.
Effective communication is key to success in this role, requiring collaboration with cross-functional teams to ensure alignment on biological data curation standards and providing clear updates to stakeholders on progress.
Qualifications:- 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 essential.
- Proficiency in Git, basics of prompt engineering, API scraping & LLM for scientific curation is required.
While prior experience in curation is beneficial, hands-on experience with generative AI platforms and tools is highly valued.
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