ARPA-H Technical SETA - Diagnostic Imaging & Oculomics Specialist

ECS is seeking an ARPA-H Technical SETA - Diagnostic Imaging & Oculomics Specialist to work remotely.

Are you a passionate innovator in Diagnostic Imaging or Oculomics? Do you thrive in fast-paced, multidisciplinary environments where you can apply your technical expertise to advance next-generation, smartphone-based diagnostic technologies? Are you ready to support the Advanced Research Projects Agency for Health (ARPA-H) in their mission to accelerate better health outcomes for everyone by supporting complex and leading-edge research and development (R&D) projects designed to arrive at high-impact solutions to society's most challenging health problems?

ECS is seeking a Technical SETA – Diagnostic Imaging & Oculomics Specialist to join our team and support an ARPA-H Program Manager developing breakthrough technologies for chronic disease detection via accessible mobile platforms. We are looking for a candidate with a strong foundation in mobile software and AI/ML who possesses deep subject matter expertise in EITHER (1) Optical Imaging Hardware (sensors/miniaturization) OR (2) Oculomics Research (biomarkers/clinical utility). This is a remote position supporting a Program Manager in the Eastern Time Zone.

These SETA duties include but are not limited to:

• Core Duties (All Candidates)
  • 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.
• Domain-Specific Duties (For Imaging & Optics Specialists):
  • 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.
• Domain-Specific Duties (For Oculomics & Clinical Specialists):
  • Recommend study designs and methodologies for evaluating the analytic validity and clinical utility of new diagnostic imaging platforms.

Salary Range: $140,000 - $210,000

General Description of Benefits

• Core Experience (All Candidates):
  • 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 (