Senior Software Engineer

What You'll Do:

• Build robust analytical pipelines and visualizations over population-scale data to characterize dataset distributions and algorithm performance across diverse patient populations.
• Translate findings about data variance and algorithm behavior into actionable requirements and algorithmic design recommendations.
• Formulate data annotation protocols for internal product development and FDA submissions.
• Collaborate cross-functionally with Research, Product, Clinical, and Engineering to transform clinical needs into cloud-based software solutions.
• Lead regulatory submission efforts, ensuring that software components comply with relevant regulations by working closely with quality and regulatory teams.
• Lead technical projects from conception to deployment.
• Foster team growth through technical leadership and knowledge sharing.
• Diagnose and resolve complex technical issues across distributed systems, often under time constraints.

Knowledge, Skills, and Abilities:

• Master's or Ph.D. degree in Data Science, Computer Science, Statistics, Biomedical Engineering, or a related quantitative field.
• 5+ years (or 3+ with a PhD) of industry experience in Data Science, Biomedical Signal Analysis, or Biomedical Image Analysis.
• Expert proficiency in Python and statistical data analysis ecosystems (e.g., pandas, bokeh, statsmodels, or other similar libraries).
• Proven experience working with large, complex, and messy datasets.
• Strong interpersonal communicator comfortable with presenting results and recommendations to stakeholders.
• Team-oriented mindset that finds satisfaction in collaborating on difficult problems and providing mentorship.
• Proven experience with regulatory submissions, developing medical software in FDA, MDR, or similarly regulated environments.
• Experience in image processing, computer vision, or 3D computational geometry.
• Demonstrated experience with software development best practices: testing, CI/CD, and agile methodologies.
• Proficiency with orchestration tools, like GitHub Actions, and navigation of Linux systems using the CLI.
• Excellent troubleshooting and diagnostic skills across applications, networks, and cloud environments.

How To Stand Out:

• Experience collaborating directly with Product and Research teams to develop software solutions addressing real-world medical challenges.
• Deep knowledge of statistical methods, image optimization techniques, and advanced visualization tools.
• Familiarity with HIPAA compliance and data security best practices in healthcare.
• Contributions to open-source projects or publications in relevant technical or clinical fields.