Annalise.ai

Software Engineering Manager

We’re on a mission to redefine AI in medical imaging… and this is only the beginning.

  • Software Engineering

  • Full-time

  • Office | Sydney, NSW, Australia

  • Visa sponsorship · No

  • Junior · A role for someone with some basic skills, good motivation and ability to learn. Typically 1-2 years of experience is required.

  • ·

Why Annalise.ai

Annalise.ai is a global MedTech company headquartered in Sydney, formed through a unique partnership between Harrison.ai and Australia's largest medical imaging service provider, I-MED Radiology Network. Leveraging our diverse and extensive medical imaging dataset, Annalise.ai is developing tools to assist Radiologists by seamlessly integrating into their current workflow to provide diagnostic support. Our suite of comprehensive AI-solutions will support radiologists during their end-to-end process of imaging interpretation. We're problem solvers, driven by a simple desire to do work that matters. We're constantly evolving ourselves and leveraging the latest AI technologies to create elegant, innovative solutions across the medical imaging sector.

About the role

What you'll do: Provide people, technical and execution leadership to a team of highly talented engineers, Develop and drive Annalise.ai's technical implementation roadmap to ensure our product remains robust and scalable, Engage in software design, code; review/coach as needed, Mentor and coach, a high-performance team aligned to company goals and objectives, Foster a diverse, collaborative and global organisational culture, Motivate the the team to deliver and achieve project milestones in a timely manner, Lead development efforts through all stages of the SDLC, Implement and enhance processes that enable the team to work more effectively, Interact with customers, understand their needs, and drive feasibilities, product features enabling solutions of high customer value, and Drive continuous engineering improvement in order to deliver a high quality software platform over time. About you: A minimum of 3 years as a Software Engineering Manager or equivalent experience leading large engineering teams, Experience leading teams within a global organisation, Previous experience building and maintaining complex products, Demonstrated background as a software developer, possessing a strong understanding of engineering principles, Passion for people with a strong focus on promoting collaboration and diversity of thought, Broad technology background with exposure/expertise in Python; Node.js/Typescript, Docker, Cloud technologies, Basic technical exposure to AI and associated technologies ( TensorFlow, Pytorch ), Experience with standard Agile software practices, Scrum, CI/CD pipelines, Git, Expertise managing projects using tools like Jira; collaborating using tools like Confluence, and High level of professional communication with an ability to effectively work across technical, clinical and non-technical teams. Nice to have (but not essential): Experience in Healthcare domain and in product development companies, building SaMD (Software as a Medical device) and/or SiMD (Software in a Medical Device), Experience with AI Technologies TensorFlow, PyTorch, TensorFlow Serving, Experience with medical imaging and associated technologies (e.g. DICOM, FHIR, HL7), and Experience in a start-up environment.

What you'll be responsible for

  • Stakeholder Engagement

    Partner with stakeholders to understand specifications, business requirements, and communicate insights

  • 🤖

    Scripting and Automation

    Develop scripts and automated workflows to improve the efficiency and accuracy of repeated tasks

  • 🛠

    Test Engineering

    Create and implement code tests and software test automation

Skills you'll need

  • 👥

    Collaboration

    Works with others by being open, clear in communication and listening to achieve goals

  • 🧮

    Numerical problem solving

    Works with numerical information and performs mathematical calculations to solve problems

  • 🔍

    Attention to detail

    Accurately identifies and rectifies discrepancies or errors that exists in information and deliverables

Meet the team

Avatar
Engineering

Annalise.ai