Biological Data Specialist

6 days ago


Kanpur, Uttar Pradesh, India beBeeBiological Full time ₹ 8,00,000 - ₹ 15,00,000

Role Overview:

We are seeking a detail-oriented Data Curator to join our team.

This role requires expertise in AI-assisted curation, data modeling, 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 essential for this role. Acquaintance with programming languages like Python and with clinical data standards such as OMOP, FHIR, and HL7 is required. 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:
  • Data Curation: 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.
  • Automation: Automate curation of large interaction datasets decreasing curator workload.
  • Data Modeling: Build fit-for-purpose conceptual & logical data models.
  • Data Standardization: Have working knowledge of data models, use-case specific schema, and standardize biological data using established ontologies and guidelines.
  • Quality Assurance: Ensure high-quality curation and consistency across multiple sources to deliver reliable results.

Collaboration and 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 required.
  • 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).


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