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Salary
$110k – $150k per year
Location
In office (Carrboro)
Seniority
Junior · 2+ years exp
Visa
H-1B filings in 12 months: 1 · for this role: 1
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Jul 23, 2026. Kitware scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Kitware is a software research and development company that creates and supports open source platforms for scientific computing. Its projects include VTK, ParaView, CMake, ITK and 3D Slicer, and it delivers contract work in computer vision, medical imaging, data analytics and high-performance visualization for government agencies, research institutions and companies. The company is headquartered in Clifton Park, New York, United States.

Team Description:

Kitware is seeking aPhysics-Based Modeling Researcher to join the Computer Vision team. In this role, you'll develop computational models of biological systems that support cutting-edge research in medical imaging, biomechanics, physiology, and digital health. You'll work closely with software developers, AI researchers, clinicians, and domain scientists to create validated models that answer challenging scientific and clinical questions.

About the Projects:

Kitware’s employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations. Much of Kitware’s work involves applying state-of-the-art artificial intelligence and mechanistic modeling approaches to dynamic, real-world problems. We consider the work that we do on our government contracts as one of the ways that we give back to the community. We partner with premier government R&D agencies such as DARPA, IARPA, ARPA-H, DHA, AFRL, Army C5ISR, NOAA, and other branches of the US Government on a range of efforts, including prime contracts, SBIRs, and STTRs. In addition, we provide commercial services to companies ranging from startups to Fortune 500 companies. Kitware employs an open source business model to foster extended, collaborative communities and to provide effective, flexible, and high-quality technical solutions.

In This Position You Will:

  • Develop computational and mathematical models of the human body and human physiology.
  • Create patient-specific models using medical imaging data (CT, MRI, ultrasound, microscopy, etc.).
  • Design and implement biomechanical, physiological, or multi-physics simulations.
  • Collaborate with software engineers to integrate models into research software and production applications.
  • Validate models using experimental or clinical data.
  • Work directly with clinicians, researchers, and sponsors to understand technical requirements.
  • Publish research findings in peer-reviewed journals and present at scientific conferences.
  • Contribute to Kitware's open source software ecosystem.

Required Qualifications:

  • Master’s degree + 2 years of experience or PhD in Biomedical Engineering, Mechanical Engineering, Computational Biology, Applied Mathematics, Bioengineering, or a related field.
  • Experience developing computational or mathematical models of the human body.
  • Strong programming skills in C++ or Python (C++ preferred).
  • Experience with scientific computing and numerical methods.
  • Familiarity with medical imaging and image processing.
  • Strong analytical and problem-solving skills.
  • Excellent written and verbal communication skills.
  • Ability to work collaboratively in multidisciplinary research teams.
  • Due to contractual requirements, only U.S. citizens will be considered for this position.
  • If not already cleared TS/SCI, willingness and ability to apply for and maintain a TS/SCI security clearance.

Preferred Qualifications:

  • Familiarity with the Pulse Physiology Engine.
  • Finite Element Analysis (FEA).
  • Biomechanics.
  • Computational fluid dynamics (CFD).
  • Cardiovascular modeling.
  • Digital twins.
  • Multiscale modeling.
  • Medical image segmentation and registration.
  • AI or machine learning applied to biomedical data.
  • Grant proposal development and sponsored research.
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