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ജോബ്‌ഗെതർ

Clinical Data Analyst - Dosimetrist

Jobgether

Remote · മുഴുവൻ സമയവും

അപേക്ഷിക്കുന്ന ആദ്യയാളാകൂ

അനുഭവം
5+ വർഷം
ശമ്പളം
USD 130,000 – USD 155,000 / year
ഓപ്പണിംഗുകൾ
1
പോസ്റ്റ് ചെയ്തു
17 മണിക്കൂർ മുൻപ്
പ്രവർത്തന രീതി
വീട്ടിൽ നിന്ന് ജോലി ചെയ്യുക
പുനരാരംഭിക്കുക
അപേക്ഷിക്കാൻ നിർബന്ധം

ജോലി വിവരണം

Position Overview

This opportunity is for a Clinical Data Analyst - Dosimetrist located in the United States. The role is designed for a seasoned medical dosimetrist who wishes to integrate clinical expertise with cutting-edge healthcare technologies. The focus is on enhancing radiation oncology treatment planning through AI-driven tools, ensuring precise, high-quality patient care. Collaboration with AI engineers, product teams, and clinical experts is essential to transform radiation therapy knowledge into effective technological solutions.

Key Responsibilities

  • Prepare and assess treatment planning contours adhering to clinical guidelines and best radiation therapy practices.
  • Utilize dosimetry expertise to aid the creation and refinement of AI contouring models.
  • Stay updated on global contouring standards, protocols, and radiotherapy treatment planning trends.
  • Verify trained AI models ensuring clinical precision, reliability, and healthcare readiness.
  • Spot opportunities for model enhancements and suggest improvements for clinical acceptance.
  • Compile documentation and results for verification and validation testing.
  • Work in tandem with product leaders, developers, and clinical experts on R&D efforts.
  • Support data-driven projects to advance automation and streamline treatment planning processes.
  • Organize clinical requirements and facilitate communication across diverse teams.
  • Drive ongoing improvements to AI-powered radiation oncology applications.

Applicant Requirements

  • Minimum of 5 years’ experience as a professional medical dosimetrist.
  • In-depth knowledge of radiation oncology workflows and treatment planning.
  • Proven expertise in contouring according to recognized clinical standards and protocols.
  • Substantial hands-on experience with radiation therapy planning and contouring.
  • Preferred experience in verification and validation testing.
  • Familiarity with multiple treatment planning systems and associated clinical technologies is advantageous.
  • Experience with diverse radiation oncology workflow software is a plus.
  • Strong analytical thinking and effective problem-solving skills.
  • Excellent organizational capacity to handle multiple projects autonomously.
  • Outstanding communication capabilities for collaboration with both technical and clinical teams.
  • Eagerness to learn new technologies and apply them in healthcare settings.
  • Flexible, open to feedback, and committed to continuous improvement.

Compensation and Benefits

  • Annual base salary ranging from $130,000 to $155,000, along with potential bonuses.
  • Fully remote work setting, offering flexibility within the United States.
  • Comprehensive healthcare coverage effective from the first day of employment.
  • Multiple medical plans with generous employer contributions.
  • Short- and long-term disability plans, plus additional life insurance.
  • 401(k) retirement plan featuring immediate employer matching.
  • Reimbursement for professional memberships every year.
  • Opportunities for conference attendance and continuing education.
  • Self-managed paid vacation plus 10 paid holidays annually.
  • Monthly internet stipend for home connectivity.
  • Provision of company laptop and home office setup allowance.
  • Virtual social events and yearly team retreats.
  • Competitive global benefits aligned with local employment laws for international staff.
  • Chance to contribute directly to innovations improving cancer treatment workflows and patient outcomes.

Additional Information

This role is managed by a partner organization which handles all applications and recruitment steps. The application and selection steps are conducted internally by the partner. The hiring process includes AI-assisted candidate matching for efficiency and fairness; however, final hiring decisions are made by human reviewers. Data privacy and rights protections apply under relevant laws.

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