Senior Software Engineer (Medical Imaging)

As a Senior Software Engineer at MedAcuity, you will be responsible for designing and developing image processing and data visualization applications, utilizing languages such as C++ and Python. You'll participate in the full design life cycle, including requirements specification, planning, code reviews, and establishing verification plans in various environments. Your contributions will play a key role in delivering reliable and secure software for our MedTech clients.

Candidates for the Senior Software Engineer role at MedAcuity should possess core skills in image processing and data visualization, particularly with technologies like DICOM, volume rendering, and point cloud processing. Additionally, a background of 8+ years in software development with proficiency in multiple programming languages, especially C and C++, is critical for success in this position.

A Senior Software Engineer at MedAcuity should be proficient in programming languages such as C++ and Python. Experience in multiple languages is highly valued, as flexibility to adapt language skills based on project needs is crucial for this role in our collaborative environment.

While direct experience in medical device software development is ideal, it is not strictly necessary for candidates applying for the Senior Software Engineer position at MedAcuity. However, familiarity with working in regulated environments such as medical device, aerospace, or defense sectors can be advantageous.

At MedAcuity, you can expect a collaborative work environment that prioritizes both innovation and meeting deadlines. We support a hybrid working model, allowing for flexibility and work-life balance. Our projects are driven by a team-focused approach and a shared goal of making a lasting impact in healthcare technology.

In approaching problem-solving as a Senior Software Engineer, I typically break down complex issues into manageable parts. I analyze the requirements and constraints before brainstorming solutions, often involving stakeholders to ensure alignment. Collaboration is key, and I value gathering input from teammates who might bring different perspectives or expertise.

In my previous roles, I have developed several applications that utilized image processing for medical imaging. For instance, I worked on a project that integrated DICOM standards to enhance data visualization, enabling easier interpretation of medical images. My experience extends across various frameworks, including VTK and Qt, which helped me effectively visualize complex datasets.

The most important skill for a Senior Software Engineer in medical imaging is a strong understanding of both technical and regulatory requirements. This includes not only proficiency in programming languages like C++ and Python but also a solid grasp of the specific regulations governing medical software development to ensure safety and compliance.

To prioritize tasks while managing multiple projects, I focus on urgency and impact. I typically employ project management tools to track progress and deadlines. Regular check-ins with team members help clarify priorities, and I remain adaptable, ready to reassess priorities based on project needs or client requirements.

To ensure code quality, I follow best practices such as conducting thorough code reviews, writing comprehensive unit tests, and adhering to established coding standards. I also advocate for continuous integration, which helps catch issues early while maintaining the integrity of the codebase. Moreover, seeking peer feedback is instrumental in refining my work.

In one project, we encountered a major roadblock when a key library we were using became deprecated. To overcome this, I researched alternatives and led a team effort to refactor our codebase accordingly. It was essential to communicate effectively with stakeholders to manage expectations and maintain project timelines throughout this transition.

I stay updated with the latest trends and technologies in software engineering by regularly attending workshops, webinars, and conferences. I also engage in online courses and actively participate in coding communities. Reading industry-related publications and maintaining a network of peers allows me to exchange insights and learn from others’ experiences.

I have extensive experience working in Agile environments, which have allowed me to adapt quickly to changing project requirements while promoting collaborative teamwork. Utilizing Agile principles, I help maintain transparency and encourage daily stand-ups, sprint planning, and retrospectives to ensure continuous improvement and communication among the team.

DICOM, or Digital Imaging and Communications in Medicine, plays a crucial role in standardizing the way medical images and associated information are stored, transmitted, and presented. In my previous work, I used DICOM to ensure seamless interoperability between different imaging devices and software platforms, which enhances the efficiency and effectiveness of medical imaging workflows.

What I enjoy most about working on medical imaging projects is the profound impact our work has on patient care and outcomes. Each project presents unique challenges that require innovative solutions, and knowing that my contributions can directly facilitate better diagnostic processes keeps me motivated and engaged in my work.