Remote Clinical Data Analyst: Radiation Oncology Contouring

Radformation LLC.; United States; On-site; USD 130,000 - 155,000; Full time

Benefits offered by this job

Fully remote work environment

Home office stipend

Company laptop

Health benefits

401(k)

Job summary

Radformation is seeking a highly motivated Clinical Data Analyst with a dosimetrist background to prepare and assess treatment planning contours for the AutoContour AI Engineering team, following accepted radiotherapy guidelines and supporting model training.

You will verify the accuracy of trained models, collaborate with AI engineers and product leads, and contribute to data and research projects across the company, enabling robust, clinically acceptable AI-based contours.

Qualifications

• 5 years experience as a medical dosimetrist.
• In-depth understanding of radiation oncology workflows.
• Demonstrated expertise in contouring based on standardized clinical guidelines and protocol.
• Extensive experience with treatment planning and contouring.

Responsibilities

• Utilize contouring and treatment planning expertise to prepare and assess treatment planning contours using the currently-accepted clinical guidelines in radiation therapy.
• Maintain awareness of contouring best practices, including the latest contouring protocols, in radiotherapy treatment planning in markets throughout the world.
• Verify the accuracy of trained models and recommend necessary changes for clinical acceptance.
• Working with Product Lead/Manager(s) and engineering teams as related projects arise.
• Generate verification and validation testing results.
• Collaborate on data and research projects as selected by the company.

Skills

Medical dosimetrist

Radiation oncology workflows

Contouring expertise

Treatment planning

Job description

Radformation is seeking a highly motivated Clinical Data Analyst with a dosimetrist background to prepare and assess treatment planning contours for the AutoContour AI Engineering team, following accepted radiotherapy guidelines and supporting model training.

You will verify the accuracy of trained models, collaborate with AI engineers and product leads, and contribute to data and research projects across the company, enabling robust, clinically acceptable AI-based contours.