Paradigm is rebuilding the clinical research ecosystem by enabling equitable access to trials for all patients. Our platform enhances trial efficiency and reduces the barriers to participation for healthcare providers.
Requirements
- Strong expertise in bioinformatics, clinical data science, or a related field.
- Experience with biomarker and/or genomic ontologies or terminologies
- Familiarity with healthcare ontologies or terminologies (ICD, SNOMED, LOINC, et al)
- Experience with evaluating and ensuring data quality (e.g., completeness, accuracy)
- Experience with oncology research or clinical genomic applications
- Experience with data science tools, programming languages (e.g., Python, R, SQL)
Responsibilities
- Work cross-functionally to perform source-to-target mappings between incoming data (ex. EHR) and our data model
- Help develop scalable models to automate mapping source-to-target data
- Evaluate and validate data from various sources to ensure accuracy, completeness, and reliability
- Contribute to the development and extension of ontologies, vocabularies, and data standards that underpin our platform
- Identify and evaluate informatics tools, databases, and content sources to enhance the product user experience
- Perform quality control checks and become proficient in querying data stored in our regulatory-grade platform
- Provide critical input into the design of data architectures, algorithms, and analysis workflows
Other
- Possess a collaborative mindset, an eagerness to learn, and a high integrity work ethic
