Diagnostic Imaging & Oculomics Specialist (Remote)

Columbus Technologies-posted 6 days ago
$121 - $210/Yr
Full-time • Mid Level
Remote
501-1,000 employees
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Must be a US Citizen or Permanent Resident Remote position W2 with full benefits Ongoing Contract supporting ARPA-H The US base salary range for this position is $121-210K + benefits. Salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. These SETA duties include but are not limited to:

  • Provide expert guidance to a multidisciplinary team on next-generation diagnostic imaging hardware AND/OR oculomics for chronic disease detection, leveraging multimodal biomarker data fusion.
  • Advise on the development of multimodal data fusion approaches, integrating image data, biomarkers, clinical/demographic/risk factor covariates, and other relevant data streams leveraging machine learning, deep learning, and other AI/ML approaches.
  • Provide expertise in machine learning, deep learning, and artificial intelligence to the development and validation of diagnostic algorithms and software applications.
  • Advise on software and mobile app development for digital health diagnostics, including requirements gathering and prototyping.
  • Perform market and regulatory analyses, technical due diligence, literature reviews and generate briefing documents summarizing technical topics related to imaging miniaturization, oculomics, AI/ML, multimodal data fusion, smartphone mobile app development, and chronic disease molecular diagnostics.
  • Evaluate technical proposals for scientific merit and innovation. Provide feedback, organize reviewer comments, draft recommendations and project summaries, and presentation materials.
  • Develop technical and administrative programmatic documentation on short timelines to communicate technical approach, progress, cost, schedule and risk for advanced technology development efforts.
  • Facilitate collaborations with external researchers, clinicians, and technology developers.
  • Provide subject matter expertise in imaging and optics. Experience with a focus on smartphone-based eye diagnostic technologies a plus.
  • Advise on imaging systems, including camera sensors, optical hardware miniaturization, image signal processors, and computational photography techniques.
  • Advise on techniques for objective and subjective image quality evaluation, including color accuracy, noise reduction, high dynamic range (HDR), tone mapping, and sharpness.
  • Recommend study designs and methodologies for evaluating the analytic validity and clinical utility of new diagnostic imaging platforms.
  • A PhD with 2+ years, MS with 5+ years, or a BA with 7+ years is acceptable.
  • Experience in software and mobile app development for health or diagnostic applications.
  • Hands-on experience with machine learning, deep learning, and artificial intelligence applied to biomedical data.
  • Team oriented with exceptional communication, writing, and organizational skills.
  • Strong analytical, organizational, and communication skills.
  • Ability to work independently and collaboratively in a fast-paced, multidisciplinary environment.
  • Demonstrated experience in multimodal data fusion (e.g., integrating image, biomarker, and clinical data).
  • Proven track record in analytic validity and clinical utility studies for diagnostic technologies.
  • Familiarity with industry leaders and disrupters in digital health diagnostics, imaging, and AI/ML.
  • Demonstrated expertise in imaging and optics, particularly smartphone-based diagnostic imaging.
  • Experience with oculomics research, especially in relation to chronic kidney disease, CKM syndrome, or other systemic diseases.
  • Desired familiarity with federal research regulations and compliance standards.
  • Prior experience supporting ARPA-like programs (e.g., DARPA, IARPA, ARPA-E) or U.S. DoD advanced development programs desired, but not required.
  • W2 with full benefits
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