Simulation and Data Science Engineer
Alimetry
Company Overview
Wellumio is a venture-backed medical device company on a mission to empower timely stroke intervention with rapid, point-of-care diagnostics.
Magnetic resonance is the gold standard in medical imaging for acute stroke. Yet access is constrained by high costs, heavy infrastructure, and the need to move patients to fixed scanners. Instead of bringing patients to the scanner, Wellumio is building technology that brings the scanner to the patient.
Wellumio’s MRI-based brain imaging system, Axana®, is a portable, energy-efficient scanner designed for point-of-care use in emergency departments, rural hospitals, and pre-hospital settings. Its first application is acute stroke, one of the leading causes of death and disability worldwide, where every minute of delay to treatment leads to further brain injury and worse long-term outcomes.
By removing traditional barriers to diagnostic imaging and embedding Axana directly into frontline stroke workflows, Wellumio aims to enable earlier diagnosis, faster treatment, and better outcomes for patients globally.
At Wellumio you will:
Work with a talented, mission-driven team across medicine, engineering, and commercial disciplines
Help build a novel point-of-care brain imaging technology from the ground up
Operate in a fast-paced environment that rewards initiative, clear thinking, and impact
Position Overview
Wellumio is seeking a Simulation and Data Science Engineer to support the development, validation, and optimisation of its MRI-based imaging platform through advanced modelling, simulation, and data-driven analysis.
This role sits at the intersection of medical imaging physics, signal processing, data science, and clinical translation. You will work closely with imaging scientists, hardware and RF engineers, software engineers, and clinical collaborators to build simulation frameworks, analyse experimental and clinical data, and support evidence generation for product development, clinical trials, and regulatory submissions.
This is a hands-on, highly technical role ideal for someone excited by applied science in a regulated medtech environment and motivated by real-world clinical impact.
What You’ll Do
As a Simulation and Data Science Engineer at Wellumio, you will:
Simulation & Modelling
Develop and maintain simulation models for magnetic fields, RF behaviour, signal formation, and imaging performance
Support system-level trade-off analysis across magnet design, coil geometry, acquisition strategies, and reconstruction approaches
Use simulations to inform design decisions, performance limits, and risk mitigation
Imaging & Signal Data Analysis
Analyse experimental, phantom, pre-clinical, and clinical imaging datasets
Develop data pipelines for processing relaxometry, diffusion, and other MR-derived biomarkers
Quantify performance metrics such as SNR, sensitivity, specificity, repeatability, and robustness
Algorithm & Data Science Support
Support development and validation of imaging algorithms, classifiers, and decision-support tools
Apply statistical methods and machine learning techniques where appropriate to extract clinically relevant insights
Assist with dataset curation, labelling strategies, and ground-truth alignment with reference imaging
Clinical & Regulatory Support
Contribute to clinical trial planning by defining data requirements, endpoints, and analysis plans
Support preparation of technical documentation for verification, validation, and regulatory submissions
Work with clinical collaborators to interpret results and translate findings into product improvements
Cross-Functional Collaboration
Work closely with hardware, RF, software, and systems engineers to close the loop between simulation, experiment, and design
Communicate results clearly to technical and non-technical stakeholders
Contribute to internal technical reviews, design decisions, and roadmap planning
What You’ll Bring
Bachelor’s, Master’s, or PhD in Physics, Biomedical Engineering, Electrical Engineering, Applied Mathematics, Computer Science, or a related field
Experience in simulation, modelling, or data science applied to complex physical systems
Strong skills in Python, MATLAB, or similar scientific computing environments
Experience analysing experimental or imaging datasets in a structured, reproducible way
Solid grounding in statistics and data analysis methodologies
Ability to translate quantitative results into actionable engineering or clinical insights
Strongly preferred:
Experience in medical imaging, MRI, NMR, RF systems, or signal processing
Prior experience in medtech, healthcare technology, or regulated R&D environments
Exposure to clinical data, imaging trials, or validation studies
Bonus:
Familiarity with electromagnetic simulation tools, MR physics, or low-field MRI concepts
Experience with machine learning applied to biomedical or imaging data
Experience contributing to technical reports, publications, or regulatory documentation
Soft Skills & Attributes
Strong analytical thinker with attention to detail and scientific rigour
Comfortable working across disciplines and navigating ambiguity
Clear communicator who can explain complex concepts simply
High ownership mindset with a bias toward execution
Motivated by patient impact and real-world deployment of technology
Join Us
Join Wellumio and help shape the data, models, and evidence behind a new class of point-of-care brain imaging technology. Your work will directly influence product design, clinical validation, and the future of stroke care worldwide.
To apply, please submit your resume and a cover letter outlining your relevant experience and why you are excited about this opportunity at Wellumio Ltd.