Paradigm is rebuilding the clinical research ecosystem by creating a platform that enables equitable access to trials for all patients while enhancing trial efficiency and reducing the barriers to participation for healthcare providers. Incubated by ARCH Venture Partners and backed by leading healthcare and life sciences investors, Paradigm aims to break down barriers across the trial ecosystem through one seamless infrastructure implemented at healthcare provider organizations, bringing potentially life-saving therapies to patients faster.

Our team is diverse in its experience and committed to the company’s mission to create equitable access to clinical trials for any patient, anywhere. Join us, and bring your expertise, passion, creativity, and drive as we work together to realize this mission.

Due to exciting growth, we are seeking a clinical data specialist to join our team. In this role, you will help drive the design, evaluation and use clinical data. You will help ensure end-to-end integrity within our data products, from source documentation to regulatory-ready data. You will help organize and represent clinical knowledge within our content management platform that enables knowledge bases sourced from electronic medical records and assist with the design, evaluation and analysis of those data to industry-standard vocabularies. 

To address our immediate expansion into Japan, ideally, we are seeking a bilingual clinical data specialist to join our team who has business-level proficiency in Japanese.  Japanese fluent candidates will be given priority consideration, however, we are a platform product and are ultimately placing significant emphasis on the strength of your clinical data knowledge to increase the capabilities of our platform; hence, Japanese language proficiency is preferred but not required.

What you’ll do:

  • Organize and represent clinical knowledge within our content management platform and operate a terminology management system
  • Evaluate data from source documentation or coded representation to ensure accuracy
  • Engage with various teams to help define and implement extensions to existing ontologies and vocabularies supporting internal features and 3rd party content
  • Work cross-functionally to perform source-to-target mappings between incoming data (ex. EHR) and our data model
  • Identify and evaluate potential sources of content to enhance the product user experience
  • Become an expert in querying and quality controlling the data stored in our regulatory grade platform
  • Contribute critically and creatively to the analytics data model, content architecture, rules engine design, ontology development methodology, and testing infrastructure

Who you are:

  • Clinical experience in care delivery, particularly in oncology or in clinical research
  • Experience working with healthcare ontologies or terminologies (ICD, SNOMED, LOINC, et al)
  • Experience working with real-world data such as EHR or claims data
  • Experience in evaluating aspects of clinical data quality (missingness, transformation errors, data entry errors), 
  • Understanding of healthcare data exchange such as FHIR

Preferred Skills:

  • Proficiency in Japanese, particularly in a clinical setting

At Paradigm, we are committed to providing equal employment opportunities to all qualified individuals. We believe in creating a diverse and inclusive workplace that values the contributions of every employee, regardless of their race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by law. We are an equal-opportunity employer and do not discriminate against any employee or applicant for employment based on any of the aforementioned factors. We encourage and welcome candidates from diverse backgrounds and perspectives to apply for our open positions. We strive to provide reasonable accommodations to qualified individuals with disabilities and to ensure that all employment decisions are based on job-related factors such as skills, experience, and qualifications.

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