Senior Software Engineer Analytics

Bayesian Health, Inc.·Remote·Work From Anywhere
Software Development
Excel

WFA Digital Insight

As the demand for healthcare tech grows, so does the need for skilled software engineers who can drive data-driven decisions. With a 25% increase in remote healthcare jobs in 2025, this role stands out for its focus on clinical AI/ML product analytics. Bayesian Health's mission to improve patient outcomes is compelling, and candidates should be prepared to showcase their skills in Excel, data platform scalability, and collaboration with cross-functional teams.

Job Description

About the Role

Bayesian Health is seeking a Senior Software Engineer, Analytics to lead the development of their clinical AI/ML product analytics infrastructure, frameworks, and tools.

Responsibilities

  • Partner with client success and clinical product subject matter experts to implement infrastructure, queries, and automation to monitor KPIs and success metrics of products across multiple clinical domains and clients
  • Build frameworks and tools to empower the clinical team to independently review and investigate clinical cases reported by clients
  • Propose and implement foundational improvements and innovations to boost data platform scalability

Requirements

  • Proficiency in Excel
  • Experience in developing analytics infrastructure, frameworks, and tools

Nice to Have

  • Experience working with cross-functional teams, including client success, product managers, clinicians, data scientists, and software engineers

How to Stand Out

  • Be prepared to showcase examples of your work in developing analytics infrastructure and tools, and how they improved decision making in previous roles.
  • Highlight your experience with Excel and other data analysis tools, and how you've used them to drive business outcomes.
  • Show a willingness to collaborate with cross-functional teams, including clinicians and data scientists, to drive product development and improvement.
  • Research Bayesian Health's products and mission, and be prepared to discuss how your skills and experience align with their goals.
  • Prepare to discuss your approach to data platform scalability and how you've implemented improvements in previous roles.

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