Senior Bioinformatics Data Scientist, Clinical Genomics

Paradigm

United States

Remote

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Paradigm Health is building a data-centric platform to enable equitable access to clinical trials. We seek a skilled Information/Data Scientist with a strong background in biomarker and clinical data pipelines to design, build, and maintain terminology libraries and ontologies that underpin our products.

You will ensure end-to-end data integrity across our systems, organize clinical knowledge, and support knowledge bases aligned with industry vocabularies.

Qualifications

  • Strong background in biomarker and clinical data pipelines.
  • Experience with biomarker/genomic ontologies or terminologies.
  • Familiarity with healthcare ontologies (ICD/SNOMED/LOINC).
  • Experience evaluating data quality (completeness/accuracy).
  • Collaborative mindset and strong integrity.

Responsibilities

  • Work cross-functionally to map source data (e.g., EHR) to our data model.
  • Develop scalable models to automate data mappings.
  • Evaluate data from multiple sources for accuracy and completeness.
  • Contribute to ontologies, vocabularies, and data standards for the platform.
  • Identify informatics tools and data sources to enhance user experience.
  • Perform QC and query data in our platform.
  • Input into data architectures and analysis workflows.

Skills

Bioinformatics/Clinical data science
Ontology/terminology experience
Healthcare ontologies (ICD/SNOMED/LOIN
Data quality assessment
Collaborative mindset

Education

Master's or PhD in Bioinformatics/Data Science/Biomedical Informatics

Tools

Python
SQL
R

Job description

Paradigm Health is building a data-centric platform to enable equitable access to clinical trials. We seek a skilled Information/Data Scientist with a strong background in biomarker and clinical data pipelines to design, build, and maintain terminology libraries and ontologies that underpin our products.

You will ensure end-to-end data integrity across our systems, organize clinical knowledge, and support knowledge bases aligned with industry vocabularies.

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