Senior Scientist / Engineer: Advanced Physical, Computational & Imaging Systems

Intertwine AssociatesMount Pleasant, SC
$90,000 - $220,000

About The Position

Intertwine Associates is seeking a Senior Scientist / Engineer to support advanced research and development initiatives within the Advanced Research Projects Agency for Health (ARPA‑H). This role supports a Program Manager leading ambitious, high‑risk, high‑reward programs at the intersection of medical physics, biophysics, biomedical engineering, advanced imaging, and frontier computational frameworks. You will help shape and execute programs that rely on fundamental physical principles, coherent and non‑linear system behavior, and next‑generation modeling approaches to address complex challenges in human health. The role is well suited for scientists and engineers who are comfortable operating at the boundary between theory, computation, and applied experimentation, and who enjoy translating deep technical insight into program‑level impact.

Requirements

  • PhD in Physics, Medical Physics, Biophysics, Biomedical Engineering, or a closely related discipline
  • Minimum 4 years of industry, applied research, or medical‑institution experience (e.g., biotechnology, biopharmaceutical, medical device, or advanced technology organizations)
  • Demonstrated experience spanning nanotechnology, advanced computation, algorithm development, artificial intelligence, or complex systems modeling
  • Strong written and verbal communication skills, with the ability to clearly convey abstract or highly technical concepts
  • Proven ability to synthesize large volumes of complex information into actionable, decision‑ready insights
  • High level of professional curiosity and comfort operating in fast‑paced, high‑pressure R&D environments
  • Proficiency with PowerPoint and Excel, including rapid development of materials during live discussions
  • Ability to obtain and maintain a federal Public Trust

Nice To Haves

  • Background in theoretical or applied physics, computational science, or systems engineering
  • Experience with coherent systems, decoherence mechanisms, probabilistic or stochastic modeling, non‑linear dynamics, or high‑dimensional state spaces
  • Familiarity with particle beams, radiation‑matter interaction, signal coherence, or spectroscopy‑adjacent methods
  • Experience with advanced imaging physics, including MRI, CT, PET, or hybrid imaging systems and associated reconstruction or inversion techniques
  • Exposure to non‑classical or non‑traditional computing architectures, hardware‑aware algorithms, or physics‑informed machine learning
  • Prior experience supporting senior leaders managing large, complex R&D portfolios
  • Experience bridging basic research, applied development, and program execution

Responsibilities

  • Serve as a senior scientific and technical advisor to the Program Manager, supporting the design, development, and execution of new and existing R&D programs
  • Conduct rigorous evaluations of the scientific and technical landscape across physics‑driven biology, advanced imaging, and emerging computational paradigms
  • Identify gaps and opportunities where coherent phenomena, state interactions, decoherence effects, high‑dimensional representations, or particle‑ and wave‑based methods could enable transformative advances
  • Assess performer progress against technical milestones using quantitative performance metrics
  • Critically review complex scientific, mathematical, and engineering data, including simulation outputs and experimental results
  • Develop concise, executive‑ready briefings, reports, and presentations for both technical and non-technical audiences
  • Support program execution through documentation, internal reporting, and coordination across multidisciplinary teams
  • Contribute to efforts involving advanced sensing, signal propagation, imaging physics, and information extraction from complex biological systems
  • Support research spanning MRI, CT, PET, multimodal and hybrid imaging, including novel acquisition strategies, reconstruction algorithms, and physics‑informed analysis techniques
  • Travel within CONUS (~10–20%) to support program reviews, workshops, and stakeholder engagements

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

Ph.D. or professional degree

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