Bayesian Health is an early-stage startup focused on making healthcare proactive by providing real-time data to healthcare professionals.
The Senior Software Engineer will lead the development of clinical AI/ML product analytics infrastructure, frameworks, and tools.
This role aims to enhance decision-making through improved insights for client success, product, clinical, and technology teams.
Responsibilities include monitoring and optimizing product performance, building frameworks for clinical case reviews, proposing improvements to the data platform, and driving product analytics development across various teams.
Requirements:
A Bachelor’s degree in Computer Science or a relevant technical discipline is required.
Candidates must have 5+ years of experience in building scalable and secure analytics infrastructure and tools on a cloud platform, preferably AWS.
Proficiency in Python and SQL is essential.
Deep knowledge of modern data and analytics technologies, including cloud-based data warehouses, transformation frameworks (e.g., dbt), workflow orchestration tools, and BI tools like Tableau or Quicksight is required.
Experience working with sensitive data that contains PHI/PII is necessary.
Excellent communication skills and the ability to collaborate with cross-functional teams to translate requirements into technical solutions are mandatory.
Benefits:
Bayesian Health offers equal employment opportunities to all employees and applicants, ensuring a discrimination-free workplace.
The company provides a supportive environment for professional growth and development.
Employees are encouraged to work collaboratively across diverse teams, enhancing their skills and experience in a dynamic startup setting.