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RadNet

Outpatient radiology imaging centers with AI

Clinical Data Scientist 1

Data SciencePosted on Nov 12
Full-time$110k - $130k /yr

About the Job

Requirements

  • An advanced degree, with experience in medical research and development: a PhD or MD with 0–3 years of experience, or an MS with 4–8 years of experience.
  • Demonstrated experience conducting clinical research and data analysis using real-world clinical data, including electronic health records, radiology information systems, and imaging data.
  • Deep knowledge of biostatistics, including mixed-effects models and Bayesian inference.
  • Strong analytical skills and the ability to communicate analytical findings to clinical, technical, and non-technical audiences.
  • Proficiency in Python for data preparation, analysis, and visualization.
  • Familiarity with Git or another version control system, Linux or another Unix operating system, and command-line tools.
  • Experience writing and presenting scientific work, including scientific publications, scientific presentations, or technical reports.
  • Communicate and cooperate professionally with supervisors, co-workers, visitors, and vendors; demonstrate initiative, professionalism, integrity, and confidentiality.
  • Follow applicable laws, company policies and procedures, data privacy, compliance, safety, and confidentiality standards; practice universal safety precautions.
  • Be adaptable and willing to learn new tasks, methods, and systems; maintain regular attendance and punctuality; complete responsibilities in a quality and timely manner.

Responsibilities

  • Collaborate with clinical, product, and technical teams to deliver analytics supporting clinical AI product validation.
  • Query, combine, clean, and validate healthcare datasets; work with technical teams to resolve data issues and document definitions and limitations.
  • Conduct exploratory and statistical analyses to characterize patient populations and clinical workflows, assess product performance, and evaluate the feasibility and potential clinical value of new product opportunities.
  • Develop reproducible analyses and reusable tools, check the accuracy of code and outputs, and document assumptions, methods, and analytical decisions.
  • Communicate findings and practical implications to non-technical stakeholders to support product decisions, clinical evidence planning, and scientific communications.
  • Follow applicable data privacy, security, and quality requirements.

Desired Qualifications

  • R or SQL skills.
  • Experience using Google Cloud Platform, particularly BigQuery, for data storage, querying, or analysis.
  • Familiarity with dbt and analytics engineering practices, including organizing source data into documented, reusable analytical tables and implementing data quality checks.

About the Company

RadNet

Outpatient radiology imaging centers with AI

RadNet runs a network of 350 outpatient radiology centers across seven states, providing advanced imaging services to patients. Its core offerings include diagnostic imaging (such as X-ray, CT, MRI, and other modalities) performed at clinics and interpreted by radiologists. The company combines imaging technology with artificial intelligence to improve diagnostic accuracy and speed, supporting healthcare providers, patients, regulators, and payers. Revenue comes from patient fees and partnerships with healthcare institutions. RadNet differentiates itself through scale (a large, nationwide outpatient imaging network), ongoing investment in technology and AI, and a focus on standardizing high-quality imaging across its centers. The company’s goal is to expand access to precise, efficient radiology services and to maintain leadership in imaging quality and research by continuously adopting best practices and pioneering radiology-related innovations.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Los Angeles, CA
Founded
1981

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