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Radiologist [part-time / contract]

Onc.AI

Onc.AI

Canada · Remote
Posted 6+ months ago
Seeing Through Cancer
Join our rapidly growing and diverse team at Onc.AI, as we use AI and machine learning to address cancer care's biggest challenges. Our precision oncology treatment guidance platform aims to revolutionize clinical decision making.
Onc.AI is a privately held digital health company developing a precision oncology point-of-care clinical management tool that focuses on transforming clinical decision making. Premier investment firms back Onc.AI: MassMutual Alternative Investments, Action Potential Venture Capital, The Blue Venture Fund, Accomplice, KdT Ventures, and Digitalis Ventures, as well as prominent individual investors who are leaders in the Enterprise SaaS, AI/drug-discovery, precision/medical oncology, and radiology fields.

Job Description:

As a Remote Board Certified Radiologist - Lung Cancer Annotation Specialist at Onc.AI, you will play a crucial role in the development of advanced AI algorithms for the prediction of immunotherapy response. You will be responsible for annotating medical images, including CT and PET/CT scans, to create high-quality datasets that will serve as the foundation for our AI research.

Key Responsibilities:

  1. Image Annotation: Accurately annotate medical images to identify and classify regions of interest related to lung cancer, including tumors, nodules, and other relevant features.
  2. Quality Assurance: Ensure the quality and accuracy of annotated data to support the development of robust AI algorithms.
  3. Collaboration: Work closely with a multidisciplinary team of data scientists, machine learning engineers, and other medical professionals to improve annotation techniques and contribute to the AI research process.
  4. Continuous Learning: Stay updated on the latest developments in radiology and lung cancer research to enhance annotation techniques and maintain a high level of expertise.

Qualifications:

  1. Board Certification: Current board certification in Radiology.
  2. Experience: A minimum of 3 years of clinical experience in radiology, with a focus on chest and lung imaging.
  3. Attention to Detail: Strong attention to detail and accuracy when annotating medical images.
  4. Technical Proficiency: Proficiency in using medical imaging software and tools for image annotation.
  5. Remote Work Skills: Self-motivated, organized, and able to work effectively in a fully remote environment.
  6. Team Player: Ability to collaborate with cross-functional teams and provide valuable input to AI research and development.
  7. Ethical Conduct: Adhere to strict ethical standards and patient confidentiality in handling medical data.

Benefits:

  • Competitive hourly rate of $400 per hour.
  • The opportunity to contribute to cutting-edge AI research and development in the field of radiology.
  • Flexibility with remote work, allowing you to create a work schedule that suits your needs.
  • The chance to work with a diverse team of experts in the field.

Are you ready to join a team of driven, innovative thinkers at the forefront of using AI and machine learning to overcome cancer care's toughest hurdles? At Onc.AI, we offer a dynamic and supportive work environment with a host of benefits and perks including:

  • A competitive compensation package and benefits, including stock options and flexible vacation policy, as well as generous parental leave.
  • The freedom to work from anywhere in the US/Canada with our remote-first setup.
  • Comprehensive healthcare, dental, and vision plans, as well as 401k, health, and dependent care FSA for US-based employees.
  • A strong commitment to building community through virtual and occasional in-person social gatherings.

Don't see a role that's a perfect fit for you or think you don't meet all the qualifications listed? That's okay! We're always looking for passionate individuals to join our team. Reach out and let us know what excites you about joining Onc.AI.

Diversity is a core value at Onc.AI and we are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.