Scientific Knowledge Engineer

3 days ago


Durham, North Carolina, United States Alpha Numeric Full time
Unlock the Power of Data with Our Scientific Knowledge Engineer

We are seeking a highly skilled Scientific Knowledge Engineer to join our team at Alphanumeric in the Research Triangle Park, NC. As a key member of our Onyx Research Data Platform organization, you will play a critical role in delivering a step-change in our ability to leverage data, knowledge, and prediction to find new medicines.

Key Responsibilities:
  • Define schemas and data models of scientific information required for the creation of value-adding data products.
  • Accountable for the quality control (through validation and verification) of mapping specifications to be industrialized by data engineering and maintained in platform-provisioned tooling.
  • Collaborate with external groups to align data standards with industry/academic ontologies ensuring that data standards are defined with usage/analytics in mind.
  • Support effective ingestion of data by understanding the entry requirements required by platform engineering teams and ensuring that the 'barrier for entry' is met.
Requirements:
  • Bachelor's degree in Bioinformatics, Biomedical Science, Biomedical Engineering, Molecular Biology, or Computer Science.
  • Biologist-related work experience.
  • 5-8 years of job-related experience with an established track record of delivery.
  • Working experience querying relational databases - SQL.
  • Experience with industry-standard data management/metadata platforms.
  • Data modeling, quality, analysis, profiling experience.
  • Experience with industry-standard tools for building data protocols.
  • Experience with at least one programming language for scripting vocabulary mappings, building data models, etc.
Preferred Qualifications:
  • Demonstrated comfort operating and leading across organizational boundaries a matrixed team.
  • Membership of data standards group, industry committee, board, or consortium.
  • Specific experience with ontology, Knowledge Graph efforts.
  • Experience in technical writing, documentation.


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