Citizen Health

About the Company

At Citizen Health, we have a singular mission: to improve the lives of the 400+ million people navigating rare and complex conditions. We empower patients with seamless access and control over their health data that they can share across our multi-sided platform with caregivers, providers and researchers to illuminate better treatment and support options, while bringing therapies to patients faster. Led by a seasoned founding team with a history of success in healthcare and consumer startups, we are a mission driven startup team of builders, advocates, family caregivers, and researchers who have had first-hand experience across the spectrum of rare and complex diseases. We support thousands of patients, work with a rapidly growing network of patient advocacy organizations, and innovate with leading biopharma organizations to accelerate therapies, always ensuring patients remain at the center.

Listed Jobs

Company Name

Citizen Health

Job Title

Early Career Software Engineer

Job Description

Job Title: Early Career Software Engineer Role Summary: Full‑stack engineer developing patient, partner, and internal web applications focused on AI‑powered clinical dashboards and data‑rich user interfaces. Responsible for designing, implementing, and maintaining high‑performance, scalable, and accessible front‑end and back‑end components, leveraging AI coding assistants to accelerate delivery. Expectations: - 0‑3 years of professional software engineering experience. - Proven record of launching user‑facing features or services on schedule. - Strong grounding in at least one of: front‑end, back‑end, or full‑stack development. - Ability to work in fast‑paced, iterative environments with cross‑functional teams. Key Responsibilities: - Build and evolve responsive, data‑heavy user interfaces using JavaScript/TypeScript and modern frameworks (React, Vue, etc.). - Implement scalable back‑end services (Node/Express, FastAPI, Spring, etc.) and integrate with databases (SQL or NoSQL). - Write and maintain automated tests (Jest, React Testing Library, Cypress, PyTest, etc.) and participate in rigorous code reviews. - Optimize performance, security, and accessibility across the stack. - Collaborate with product, design, and data teams to translate user needs and research findings into functional specifications. - Integrate CI/CD pipelines, build tooling, and observability solutions (cloud platforms, containers, monitoring). - Leverage AI coding assistants to prototype, refactor, and deliver features more rapidly. Required Skills: - JavaScript/TypeScript development with React or Vue, semantic HTML/CSS. - Front‑end performance tuning, accessibility (WCAG) compliance, and data‑visualization best practices. - Back‑end competency in modern web frameworks (Express, FastAPI, Spring, Fiber). - Database design and querying (SQL or NoSQL). - Automated testing frameworks and continuous integration/continuous delivery experience. - Familiarity with state management libraries (Redux, MobX, Recoil) and back‑end routing, authentication, and API design. - Understanding of cloud services (AWS, GCP, Azure), containerization (Docker), and basic observability (logs, metrics). - Strong communication, collaboration, and problem‑solving abilities. Required Education & Certifications: - Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience. - No mandatory certifications required; relevant developer bootcamp or self‑learned credentials acceptable.

San mateo, United states

Hybrid

Fresher

05-11-2025

Company Name

Citizen Health

Job Title

AI/Machine Learning Engineer

Job Description

**Job Title:** AI / Machine Learning Engineer **Role Summary:** Lead the end‑to‑end design, implementation, and deployment of production‑grade AI solutions for a patient‑centric health platform, focusing on large language models (LLMs) and multi‑modal data pipelines. Drive innovation in rare disease research and clinical decision support while ensuring compliance, scalability, and high model performance. **Expectations:** - Own and deliver production ML systems from data ingestion to monitoring. - Collaborate with backend, data, and clinical teams to integrate models into a compliant, high‑performance infrastructure. - Maintain rigorous code quality, version control, and documentation standards. - Continuously evaluate state‑of‑the‑art techniques and advocate their practical application. **Key Responsibilities:** - Design, develop, and optimize LLM‑based solutions (Fine‑tuning, Retrieval‑Augmented Generation). - Build robust ETL and validation pipelines for structured, unstructured, and imaging data. - Deploy and monitor models using MLOps tools, ensuring data drift detection and system health checks. - Work with message queues, data streams, and vector databases to support real‑time inference. - Partner with clinical experts to validate outcomes and maintain medical accuracy. - Lead research initiatives to prototype and validate novel AI/ML methods. **Required Skills (Must‑Have):** - 5+ years experience in ML engineering for production systems. - Proficient in Python and AI/LLM frameworks (LangChain, LangGraph, AutoGen, CrewAI). - Proven deployment of ML/LLM solutions in production. - Deep understanding of deep learning, NLP, and statistical modeling. - Experience with ML ops practices and large‑scale datasets. - Strong software engineering practices and coding standards. **Preferred Skills (Nice to Have):** - Hands‑on LLM integration and optimization in production. - Expertise with LangChain, LlamaIndex, prompt engineering, and RAG. - Familiarity with vector databases and similarity search for AI. - Experience in message queuing, data streaming, and analytics technologies. - Architectural and high‑quality coding track record. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent professional experience).

San francisco, United states

Hybrid

Mid level

19-11-2025