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Senior Scientific Platform Engineer

19 hours, 18 minutes ago
United States
Full-time
Senior
Research Scientist
Software Development
AWS C# CI/CD .NET Python R Serverless
Apply Now
VivoSense

VivoSense

VivoSense provides advanced health data analytics solutions and software for clinical research, focusing on the analysis of biometric and physiological signals to discover disease signatures and optimize health studies.

Professional Services
11-50
Founded 2010
$25M raised
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Description

  • Develop and maintain software components, data processing workflows, reporting solutions, and platform services.
  • Transform research outputs into robust software solutions for clinical studies and customer-facing deliverables.
  • Design and implement integrations for new sensors, data sources, and platform capabilities.
  • Create technical designs, implementation specifications, validation documentation, and operational procedures.
  • Support verification, validation, testing, troubleshooting, and release activities.
  • Partner with Engineering to design, implement, test, and deploy scientific workflows and analytical capabilities.
  • Collaborate with Product, Science, Data Science, Quality, and Engineering teams to define requirements and prioritize work.
  • Translate digital measures, algorithms, and analytical methods into scalable, production-ready platform capabilities.
  • Identify opportunities to improve scalability, maintainability, automation, and operational efficiency.

Requirements

  • Master's or Ph.D. in Computer Science, Software Engineering, Biomedical Engineering, Data Science, Bioinformatics, or a related technical field.
  • 5+ years of experience developing software applications, analytics platforms, scientific computing solutions, or data processing systems.
  • Strong proficiency in Python and experience building production-grade backend services, APIs, and data processing pipelines.
  • Experience developing cloud-native applications on AWS, including distributed, serverless, or event-driven architectures.
  • Ability to understand scientific methods and analytical workflows and translate them into scalable, maintainable software solutions.
  • Experience integrating analytical, scientific, or data-driven workflows into enterprise software platforms.
  • Experience using AI-assisted development tools to understand codebases, modernize legacy solutions, and improve productivity.
  • Strong understanding of software architecture, testing, debugging, and software development best practices.
  • Excellent communication and collaboration skills across Science, Data Science, Product, Quality, and Engineering teams.
  • Experience with C#/.NET and maintaining or modernizing legacy applications (preferred).
  • Experience with healthcare, clinical research, wearable sensors, digital biomarkers, or physiological data (preferred).
  • Experience in regulated environments such as FDA, GxP, ISO 13485, or 21 CFR Part 11 (preferred).
  • Familiarity with R, CI/CD pipelines, DevOps practices, and Infrastructure as Code (preferred).

Benefits

  • $130,000 - $160,000 annual salary USD (DOE and location).
  • Unlimited PTO.
  • Board-approved stock options.
  • Board-approved annual bonus.
  • Healthcare, vision, dental, and life insurance.
  • 401(k) with Safe Harbor employer contribution.
  • Remote work with flexible working hours.
  • Professional growth training.

Interested in this position?

Apply directly on the company website

Apply Now

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