Scientific Knowledge Engineer

3 weeks ago


Durham, North Carolina, United States Randstad Full time
Job Summary:

The Scientific Knowledge Engineering team at Randstad is responsible for data modeling, ontology definition, and management. This role involves working with Product managers and R&D subject matter expertise to define the language of science into data products. The ideal candidate will have a strong understanding of data modeling, quality, analysis, and profiling, as well as experience with industry-standard data management platforms.

Responsibilities:

Definition of schemas and data models of scientific information required for the creation of value-adding data products. Accountability for the quality control and mapping specifications to be industrialized by data engineering and maintained in platform-provisioned tooling. Working with Product managers/engineers to confidently convert business needs into defined deliverable business requirements to enable the integration of large-scale biology data to predict, model, and stabilize therapeutically relevant protein complex and antigen conformations for drug and vaccine discovery.

Qualifications:

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, and experience with at least one programming language for scripting vocabulary mappings, building data models, etc.

Skills:

Molecular Biology, Data Management Plan, Biomedical Engineering

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