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# Software Engineer, Analytics

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/bayesian-health.md)Share18 Sep 2026Published29Listing views3Application actions18 Oct 2026Apply before  Opportunity details

## About this role.

AI SummaryBayesian Health is seeking a senior software engineer to lead development of analytics infrastructure for a clinical AI/ML product. The role builds monitoring, investigation, and data-platform capabilities that help product, clinical, client success, and engineering teams understand product performance. Key technical work includes cloud-based data infrastructure, complex SQL and Python workflows, data warehousing, dbt, orchestration, and BI tooling. The engineer will work with sensitive PHI/PII and translate cross-functional clinical and product needs into scalable technical solutions. This is a remote, US-only position in an early-stage healthcare startup environment.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a senior, high-impact role requiring ownership of scalable analytics foundations for live clinical products, with strong cloud, data-platform, and healthcare data experience. The combination of sensitive data, complex models, startup ambiguity, and cross-functional clinical stakeholders makes the work especially demanding.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate$170,000US market range$145k–$205k0$226k

AI insightNo actual compensation was disclosed, so these are estimated US-market annual base-salary figures for a senior software engineer specializing in analytics/data infrastructure within healthcare technology. A reasonable estimated median is $170,000, with a typical market range of approximately $145,000 to $205,000 depending on location, equity, benefits, cloud/data-platform depth, and clinical-data experience.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Python](https://jobicy.com/jobs?search_keywords=Python.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Data Analytics](https://jobicy.com/jobs?search_keywords=Data%20Analytics.md)[Data Warehousing](https://jobicy.com/jobs?search_keywords=Data%20Warehousing.md)[dbt](https://jobicy.com/jobs?search_keywords=dbt.md)[Workflow Orchestration](https://jobicy.com/jobs?search_keywords=Workflow%20Orchestration.md)[Business Intelligence](https://jobicy.com/jobs?search_keywords=Business%20Intelligence.md)[Tableau](https://jobicy.com/jobs?search_keywords=Tableau.md)[Healthcare Data](https://jobicy.com/jobs?search_keywords=Healthcare%20Data.md)

Sample interview questionsHow would you design a product-performance monitoring platform for multiple clinical AI/ML customers?I would begin by defining standardized KPIs, data contracts, ownership, and freshness expectations with clinical, product, and client-success partners. I would build an extensible warehouse model and transformation layer, add automated quality checks and lineage, then expose role-appropriate dashboards and alerts. I would also ensure tenant isolation, auditability, and PHI-minimizing access patterns from the start.

Describe your approach to working with PHI/PII in analytics systems.

I apply least-privilege access, encryption in transit and at rest, strong audit logging, and clear data-retention controls. I prefer de-identified or limited datasets whenever they satisfy the analytic need, and I partner with security and compliance teams to document controls and validate access workflows. I also build tests that prevent sensitive fields from appearing in inappropriate downstream models or dashboards.

How have you used Python and SQL together to investigate complex product issues?

I use SQL to efficiently isolate relevant events and join operational datasets, then use Python for repeatable analysis, validation, anomaly detection, and report generation. I package common investigative logic into version-controlled tools or workflows so clinical and support partners can answer routine questions safely without engineering intervention. This shortens incident investigation while improving consistency.

How would you improve an existing analytics platform that is struggling to scale?

I would first profile the workload across ingestion, transformations, storage, query patterns, and BI usage to identify the real bottlenecks. I would prioritize high-value improvements such as incremental models, partitioning, materialized aggregates, orchestration reliability, and data-quality observability. I would deliver changes in measurable increments, tracking cost, freshness, runtime, and user impact.

How do you manage ambiguous requirements from product, clinical, and client-success teams?

I turn ambiguity into a structured discovery process: clarify the decision to be made, define users and success metrics, identify available data and constraints, and propose a small, testable first version. I communicate tradeoffs in plain language and document assumptions so stakeholders can respond quickly. This keeps progress moving while ensuring the solution addresses a meaningful clinical or product question.

### Software Engineer, Analytics

### In Brief

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

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You will lead the development of our clinical AI/ML product analytics infrastructure, frameworks, and tools to enable our client success, product, clinical, and technology teams to uplevel our decision making through better insights.

### Who We Are

Bayesian Health’s mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-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: Forbes 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.](https://www.bayesianhealth.com/sepsis-research/?__hstc=251652889.1e7598f5de0ed9b513da684474e8a044.1710861879595.1710945070565.1710971833587.3&__hssc=251652889.1.1710971833587&__hsfp=1890770568)

### What you’ll do

As a Senior Software Engineer, Analytics, you will work closely with client success, 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 clinical AI/ML module offerings and revenue growth.

Responsibilities

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

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

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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 uplevel our team analytics capabilities.

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

### Minimum qualifications

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BS in Computer Science or other relevant technical discipline.

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

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Proficient in Python and SQL.

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Deep knowledge in modern data and analytics technologies, such as cloud-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.

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Experience working with sensitive data that contains PHI/PII.

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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

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

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Experience building analytics technology for clinical/health data.

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Experience handling ambiguity and uncertainty in a startup.

Bayesian Health provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, 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 all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Show more

[Apply now >](https://jobicy.com/jobs/153592-software-engineer-analytics.md)

>  Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md)

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