layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

LAYIQ - Senior Software Engineer at Heartflow

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.
If you don't tick every box, don't count yourself out! Our team cares more about finding enthusiastic people than it does ticking boxes, so if this post speaks to you, please apply.

Senior Software Engineer

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