Computational Biophysics Engineer

Job Title: Computational Biophysics Engineer Location: Cambridge UK / San Francisco Type: Full-Time (on-site) Coherence Neuro is a fast‑growing, venture‑backed company pioneering implantable technologies that interface with the human body to address critical unmet medical needs. We’re looking for driven individuals who are passionate about pushing the boundaries of engineering and science to solve some of the most complex biological challenges. In this early‑stage environment, we seek versatile team members with a hands‑on approach and a willingness to learn quickly and adapt. We value diversity and encourage applicants from all backgrounds to join us in our mission. Learn about our team! We are seeking an enthusiastic and driven Computational Biophysicist who is passionate about using computational modelling to inform key product design decisions and enable patient‑optimized therapeutics. The successful candidate will be based within the data science and computational modelling team and will also work closely with the product development and translation teams. Key Responsibilities Develop and implement finite element models of biological systems with a focus on electromagnetic (EM) and thermal dynamics in tissue Design and simulate coupled multiphysics problems (e.g., EM–thermal interactions, bioelectric phenomena) Build subject‑specific models by integrating MRI/CT imaging data into high‑quality computational meshes Perform segmentation, geometry processing, and mesh generation from medical imaging datasets Validate models against experimental or clinical data, particularly for EM field distribution and heat transfer in biological media Conduct sensitivity analyses and parameter optimization for EM and thermal simulations Collaborate with cross‑functional teams to translate imaging and modeling outputs into actionable insights Clearly document and organize findings for key stakeholders Required Qualifications and Skills Advanced degree (MS/PhD) in Biophysics, Biomedical Engineering, Electrical Engineering, Mechanical Engineering, or related field Strong expertise in finite element methods (FEM) with emphasis on electromagnetics and heat transfer Hands‑on experience with FEM tools supporting multiphysics (e.g., COMSOL, ANSYS, Abaqus) Experience modeling EM fields in biological tissues and associated thermal effects (e.g., RF heating, bioelectric interactions) Proficiency in medical image processing and segmentation, particularly MRI‑based workflows Experience generating meshes from imaging data and working with complex anatomical geometries Strong programming skills in Python for simulation workflows and data processing Solid understanding of tissue properties, bioelectricity, and thermal transport in biological systems Strong analytical and problem‑solving skills with ability to work across disciplines Proficient oral, communication, and organizational skills and can work collaboratively within a close team setting Reporting Structure This role is an integral part of the Computational Modelling and Product Development teams and reports directly to the Data & Computational Lead. Benefits In either location, we offer: Competitive salary and share options. Daily meals and snacks provided. Professional development support and training opportunities. Flexible working hours and travel opportunities (we have sites in Australia, UK and US!). A chance to work on impactful, life‑changing technologies in a dynamic, innovative environment. US specific: Healthcare, dental, and vision. US specific: 401k with company matching. US specific: Industry leading paid time off (PTO) - 20 days/year + holidays. UK specific: Company matched pension. UK specific: Industry leading paid time off (PTO) - 25 days/year + England bank holidays. If you are passionate about innovation in healthcare, we would love to hear from you! Please submit your application. #J-18808-Ljbffr black.ai