Scientific Data Curator

Job Title: Data Quality Analyst

Function: Data Harmonization

Location: Delhi/Bangalore

About the Role:

We are seeking a detail-oriented Data Quality Analyst to join our delivery team. This role requires expertise in AI-assisted curation, API scrapping, data modelling and data 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 with clinical data standards such as OMOP, FHIR, and HL7 is a must. If you are eager to grow in the field of omics data, and work on cutting-edge AI technology, this role is an excellent opportunity for you.

Key Responsibilities:

• Identify, 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 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.
• Ensure high-quality curation and consistency across multiple sources to deliver reliable results.

Inter and Intra-team communication

• 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.
• Liaison between PMs, developers as a member of a cross-functional team to add newer capabilities to our curation workflow.

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 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.
• A highly motivated, dynamic, and detail-oriented individual with good data curation and management skills.

Good To Have

• 1 year of curation experience, preferably in the life sciences industry.
• Hands-on experience using generative AI platforms and tools (e.g., ChatGPT, Gemini, Claude, or similar).