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Simulation and Data Science Engineer

Alimetry

Alimetry

Data Science
Wellington Central, Wellington, New Zealand
Posted on Jan 9, 2026

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

  1. Develop and maintain simulation models for magnetic fields, RF behaviour, signal formation, and imaging performance

  2. Support system-level trade-off analysis across magnet design, coil geometry, acquisition strategies, and reconstruction approaches

  3. Use simulations to inform design decisions, performance limits, and risk mitigation

Imaging & Signal Data Analysis

  1. Analyse experimental, phantom, pre-clinical, and clinical imaging datasets

  2. Develop data pipelines for processing relaxometry, diffusion, and other MR-derived biomarkers

  3. Quantify performance metrics such as SNR, sensitivity, specificity, repeatability, and robustness

Algorithm & Data Science Support

  1. Support development and validation of imaging algorithms, classifiers, and decision-support tools

  2. Apply statistical methods and machine learning techniques where appropriate to extract clinically relevant insights

  3. Assist with dataset curation, labelling strategies, and ground-truth alignment with reference imaging

Clinical & Regulatory Support

  1. Contribute to clinical trial planning by defining data requirements, endpoints, and analysis plans

  2. Support preparation of technical documentation for verification, validation, and regulatory submissions

  3. Work with clinical collaborators to interpret results and translate findings into product improvements

Cross-Functional Collaboration

  1. Work closely with hardware, RF, software, and systems engineers to close the loop between simulation, experiment, and design

  2. Communicate results clearly to technical and non-technical stakeholders

  3. 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.