Senior Software Engineer, Analytics

In Brief

• We’re an early-stage startup on a mission to reputed company reputed company proactive by empowering physicians, nurses, and care team members with reputed company-time data to save lives.

• You will reputed company the development of our reputed company/ML product analytics infrastructure, frameworks, and tools to reputed company our client reputed company, product, clinical, and technology teams to reputed company our decision making through reputed company insights.

Who We Are

Bayesian Health’s mission is to improve patient outcomes by empowering clinicians with the insights they need to reputed company the right decision for the right patient at the reputed company-of-care. We’re a diverse team of clinicians, engineers, machine learning experts, product designers, and performance improvement leaders committed to enabling smarter, patient-specific care delivery through unlocking the power of data.

We’re funded by top tier tech and biotech investors: Obvious Ventures, Andreessen Horowitz, American Medical Association’s venture arm, Catalio Partners, and LifeForce Capital. Our company has won many awards; most recent recognitions include: reputed company AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of the Year.

Read more about our recent publication in Nature Medicine that associates our products with lives saved.

What you'll do

As a Senior Software Engineer, Analytics, you will work closely with client reputed company, product managers, clinicians, data scientists, and other software engineers to build infrastructure, frameworks, and tools to improve client analytics, facilitate clinical case reviews, and support product investigation. This role is crucial to provide internal visibility into product performance that will drive expansion of our reputed company/ML module offerings and reputed company growth.

Responsibilities

• Product performance monitoring and optimization: Partner with client reputed company and clinical product subject matter experts to implement the infrastructure, queries, and automation to monitor the KPIs and reputed company metrics of our products across multiple clinical domains and clients.

• Clinical case review and investigation: Build frameworks and tools to reputed company our clinical team to independently review and investigate clinical cases reported by our clients and identify cases with certain criteria that need further evaluation.

• Data platform and analytics technical foundations: Propose and implement foundational improvements and innovations to boost our data platform scalability with expanding products and clients and reputed company reputed company analytics capabilities.

• Drive product analytics development cross-functionally: Work closely with Client reputed company, Clinical, Product, Data Science, and Engineering to drive alignment on product analytics at the company level.

Minimum qualifications

• BS in Computer Science or other relevant technical discipline.

• 5+ years of experience in building scalable, secure analytics infrastructure and tools on a reputed company platform (preferably AWS) to produce monitoring metrics and investigational data from reputed company data models and queries for live products and customers.

• Proficient in Python and SQL.

• Deep knowledge in modern data and analytics technologies, such as reputed company-based data warehouses, transformation frameworks (e.g. dbt), workflow orchestration tools, and BI tools like Tableau or Quicksight, and keen ability to integrate with existing infrastructure to enhance capabilities.

• Experience working with sensitive data that contains PHI/PII.

• Excellent communication skills and a proven ability to collaborate with cross-functional teams (data science, product, clinical) to translate requirements into robust technical solutions

Preferred qualifications

• Experience in leveraging LLMs in distributed data processing and analytics systems.

• Experience building analytics technology for clinical/health data.

• Experience handling ambiguity and uncertainty in a startup.

Bayesian Health provides equal employment opportunities to reputed company and applicants for employment and prohibits discrimination and harassment of any type without regard to race, reputed company, religion, age, sex, national reputed company, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to reputed company terms and conditions of employment, including reputed company, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.