Scientific Data Specialist

3 days ago

Kurnool, Andhra Pradesh, India beBeeData Full time ₹ 1,20,00,000 - ₹ 1,70,00,000
Job Opportunity: Scientific Data Specialist

We are seeking a detail-oriented data professional to join our team as a Scientific Data Specialist.

The role requires expertise in AI-assisted data curation, API scraping, and data modeling.

  1. Data Curation: Identify, curate, and annotate biological datasets from various omics/clinical modalities using APIs and AI tools.
  2. Automation: Automate the curation of large interaction datasets to decrease curator workload.
  3. Data Modeling: Build fit-for-purpose conceptual & logical data models.
  4. Data Standardization: Have working knowledge of data models, use-case specific schema, and standardize biological data using established ontologies and guidelines.
  5. Quality Control: Ensure high-quality curation and consistency across multiple sources to deliver reliable results.

Collaboration:

  • 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 scraping & 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.

Desirable Skills:

  • 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).

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