{"id":115138,"url":"https://alion.io/job/kitware-physics-based-modeling-researcher-biomedical","title":"Physics-Based Modeling Researcher, Biomedical","company":{"id":5928,"name":"Kitware","domain":"kitware.com","url":"https://alion.io/company/kitware","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":73,"open_postings":18,"ghost_share":0.444,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":41,"computed_at":"2026-10-25T05:49:26Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Carrboro, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":110000,"max":150000,"currency":"USD","period":"year","gross":null,"usd_annual":150000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Python","optional":false},{"name":"Digital Twin","optional":true},{"name":"Image Segmentation","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-07-23T12:52:35Z","employer_posted_date":"2026-07-23","last_verified_at":"2026-10-25T03:38:01Z","board_verified":true,"closed_at":null,"days_open":93,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":93},"description":"Team Description:\nKitware 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.\nAbout the Projects:\nKitware’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.\nIn This Position You Will:\nDevelop computational and mathematical models of the human body and human physiology.\nCreate patient-specific models using medical imaging data (CT, MRI, ultrasound, microscopy, etc.).\nDesign and implement biomechanical, physiological, or multi-physics simulations.\nCollaborate with software engineers to integrate models into research software and production applications.\nValidate models using experimental or clinical data.\nWork directly with clinicians, researchers, and sponsors to understand technical requirements.\nPublish research findings in peer-reviewed journals and present at scientific conferences.\nContribute to Kitware's open source software ecosystem.\nRequired Qualifications:\nMaster’s degree + 2 years of experience or PhD in Biomedical Engineering, Mechanical Engineering, Computational Biology, Applied Mathematics, Bioengineering, or a related field.\nExperience developing computational or mathematical models of the human body.\nStrong programming skills in C++ or Python (C++ preferred).\nExperience with scientific computing and numerical methods.\nFamiliarity with medical imaging and image processing.\nStrong analytical and problem-solving skills.\nExcellent written and verbal communication skills.\nAbility to work collaboratively in multidisciplinary research teams.\nDue to contractual requirements, only U.S. citizens will be considered for this position.\nIf not already cleared TS/SCI, willingness and ability to apply for and maintain a TS/SCI security clearance.\nPreferred Qualifications:\nFamiliarity with the Pulse Physiology Engine.\nFinite Element Analysis (FEA).\nBiomechanics.\nComputational fluid dynamics (CFD).\nCardiovascular modeling.\nDigital twins.\nMultiscale modeling.\nMedical image segmentation and registration.\nAI or machine learning 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