Develops and maintains integrations with EHR systems like Epic and Cerner using Python and standards such as FHIR and HL7. Troubleshoots issues, tests integrations, and communicates with teams and clients. Requires 5+ years experience and strong healthcare interoperability knowledge.

Leads end-to-end applied ML research in NLP, LLMs, retrieval, and multimodal models for healthcare AI, driving from experimentation to production deployment with rigorous evaluation and clinician collaboration. Requires 7+ years experience, MS/PhD, and depth in ML areas like PyTorch tooling.

Build and scale healthcare APIs using serverless AWS technologies and Rust for a programmable clearinghouse. Requires 4+ years experience with AWS serverless and strong coding skills in Rust/TypeScript.

Builds and scales secure healthcare integrations with VistA/EHR systems using NodeJS/TypeScript, FHIR APIs, and Google Cloud. Requires 5+ years enterprise integrations experience, 2+ years VistA, collaborating with customers and cross-functional teams.

Builds and scales AI agents for autonomous patient recruitment, screening, data collection, and 24/7 support in clinical trials. Focuses on ML models, multi-channel LLM deployment, and integrating legacy healthcare systems.

Builds complex fullstack tools for R&D management in biotech, including decision modeling, organizational alignment interfaces, scientific operations dashboards, and AI-powered insights using React/TypeScript. Requires 6-8 years experience with strong frontend architecture skills.

Senior Data Scientist extracts insights from healthcare data, models user behavior, designs A/B tests, and evaluates AI models to drive product improvements and business decisions. Requires 8+ years in Python, R, SQL analytics and 5+ years in product-facing roles.

Leads enterprise Salesforce architecture and transformation initiatives, translating business capabilities into scalable, secure solutions across the product-to-cash lifecycle. Requires principal-level Salesforce expertise, large-scale CPQ implementations, enterprise architecture frameworks, and strong stakeholder leadership.

AI/ML research intern building prototypes for sleep fitness applications like multimodal activity understanding, time-series forecasting, and personalized thermoregulation. Works with cross-functional team on data-driven solutions; requires student status in CS/data science/ML-related field, prefers research experience and ML proficiency.

Leads infrastructure initiatives including AWS management, dev velocity improvements, AI/LLM observability, cost optimization, and compliance. Requires 5+ years infra experience, high agency, and strong communication to shape and grow the team.

Builds and maintains integrations with healthcare EMR/PM systems using APIs, RPA, and agentic methods. Works directly with clients, implements monitoring for reliability, and scales repeatable frameworks. Requires 5+ years in healthcare integrations.

Builds end-to-end agentic workflows, voice AI, browser agents, and generative AI features for healthcare revenue cycle management. Partners directly with customers on full-stack solutions with backend expertise.

This generalist business operations role supports cross-functional initiatives through project management, data analysis, customer discovery, and opportunity modeling. It requires 3–4 years of experience in consulting, banking, or startup operations, along with strong analytical and stakeholder-management skills.

Owns infrastructure for AI document platform in life sciences, building CI/CD pipelines, managing cloud systems (AWS, Kubernetes), monitoring, and light security to ensure reliability and scale.

AI Research Scientist explores novel LLM modeling, NLP, and reasoning approaches for healthcare applications, prototypes capabilities, and deploys them into production with engineering and product teams. Requires strong ML/NLP background with publications and hands-on deep learning experience.

Designs intuitive, engaging mobile app experiences for sleep optimization, handling full product design lifecycle from wireframes to iteration using user data. Collaborates with product, engineering, and brand teams in fast-paced environment, requiring 4+ years UX/UI experience and shipped mobile work.

Drive enterprise revenue by sourcing, developing, and closing complex six and seven figure deals with large healthcare organizations. Own strategic accounts and navigate multi-stakeholder buying processes in the healthcare RCM space.

Own end-to-end onboarding for new provider organizations, driving outreach, demos, training, and activation to help practices integrate Forus into their workflows.

Data Analyst responsible for complex data exploration, advanced modeling, metric definition, experimentation, and translating healthcare data into strategic insights for product and business leaders. Requires 5+ years experience, deep SQL and Python/R skills, statistical expertise, and strong communication.

Staff Product Designer leads end-to-end design for healthcare AI platform, simplifying complex clinical workflows into intuitive experiences for clinicians. Requires 7-12+ years experience, exceptional craft in visual/interaction design, user research, and cross-functional collaboration.

Leads full-cycle enterprise implementations for AI document platform in life sciences, managing customer onboarding, configurations, and adoption while collaborating cross-functionally. Requires 4+ years client-facing experience in regulated industries like biotech.

Closes enterprise deals for healthcare workflow automation SaaS by owning full sales cycle from discovery to close, managing pipeline, and building client relationships. Requires 5+ years software sales experience, preferably in complex tech solutions.

Drives new business and expands relationships with enterprise healthcare customers by owning full sales cycle, demos, and implementations of Neon's automation platform. Requires enterprise SaaS sales experience, technical literacy for IT discussions, and consultative selling skills.

Leads engineering team to execute product delivery at startup speed, recruits top talent, scales infrastructure, and aligns with business goals in enterprise SaaS/AI startup. Requires proven leadership in high-growth environments.

Senior individual contributor leading demand generation campaigns, growth experiments, and GTM strategy for enterprise SaaS startup. Requires hands-on experience scaling from seed to growth stage with enterprise marketing expertise.

Leads technical implementations and adoption of AI automation platform for enterprise healthcare customers. Translates needs to engineering specs, diagnoses issues, manages programs, and drives expansion while building executive relationships.

Serves as the CEO's right hand, driving company growth through strategy, execution of initiatives, cross-functional coordination, and high-impact prioritization in a hypergrowth startup.

Own growth strategy and GTM execution for a core provider category, driving national market share, activation, and commercial impact through partnerships, campaigns, and product initiatives.

Reviews AI agent outputs like phone call transcripts and recordings to identify issues, label them, and suggest improvements for better performance in healthcare automation workflows. Requires detail-orientation, speed, rigor, and comfort with technical systems in fast-paced environments.

Builds GTM engine through content creation, outbound campaigns (Apollo/Outreach), growth systems (SEO/paid ads), events, and automation experiments to drive pipeline and revenue for healthcare automation startup.

Builds and optimizes scalable ML inference infrastructure using Kubernetes and GPU resources to deploy production AI models with low latency. Collaborates with ML research and product teams on model serving, orchestration, and compute efficiency.

Designs intuitive user experiences for AI-powered healthcare platform, simplifying complex clinical workflows for clinicians. Leads end-to-end design from research to high-fidelity prototypes, requiring 5+ years experience in complex domains.

Build and scale backend services, APIs, and data pipelines using Go, Postgres, and AWS for an AI platform accelerating life sciences innovation. Collaborate with product and ML teams to deliver reliable, performant systems in a fast-paced startup.

Prospects and sells AI automation software to large pharmaceutical manufacturers, hubs, and specialty pharmacies, achieving sales quotas through territory coverage, C-level positioning, and pipeline growth via inbound/outbound efforts. Requires 3-5 years selling software to pharma/payers with proven track record.

Provides technical support for proprietary healthcare software, troubleshooting issues in on-prem/hosted environments, handling customer tickets, and assisting with installs/upgrades. Requires 1-2 years IT experience with SQL/PowerShell, Windows servers, and strong problem-solving skills; bachelor's degree preferred.

Builds and maintains full-stack software solutions including frontend (Angular/JS), backend (.NET Core), and databases for healthcare systems. Requires 3-5 years experience, bachelor's degree, and full SDLC collaboration in a hybrid environment.

Founding designer owns Clarion's full design language, including brand identity, intuitive product interfaces, and human-like AI voice experiences for healthcare communication tools. Requires 3+ years experience, Figma expertise, and systems thinking for visual/auditory cohesion in an onsite NYC role.

Staff Software Engineer provides technical leadership, owns end-to-end feature delivery, mentors engineers, and drives innovation in building reliable software for healthcare workflows. Requires 7+ years experience, strong programming skills, and cloud architecture expertise.

Lead marketing efforts at an AI healthcare startup by crafting positioning, generating pipeline through campaigns and events, building executive relationships, and creating converting content to support sales in a competitive market. Requires 3-5 years B2B healthcare marketing experience and scrappy execution.

The Data Operations Analyst ensures operational data accuracy through quality assurance, SQL-based analysis, process documentation, and cross-functional issue resolution. The role requires a bachelor's degree or equivalent experience, strong attention to detail, and comfort working an overnight schedule.

Builds and maintains scalable cloud infrastructure powering an AI-driven R&D platform for biotech, focusing on reliability, security, AI workloads, and developer tooling. Requires 5+ years in platform engineering with expertise in cloud IaC, CI/CD, and observability.

Owns full sales cycle for mid-market to enterprise healthcare SaaS deals, from outbound prospecting to C-suite closes. Requires 2-3 years enterprise SaaS experience, strong value-selling, and pipeline management skills; onsite in NYC.

Build responsive, accessible web interfaces and reusable React components for a programmable healthcare clearinghouse. Requires 4+ years frontend experience with React, Next.js, TypeScript, and strong collaboration skills.

Senior Backend Engineer builds scalable backend systems for R&D management platform in biotech, modeling complex decisions, aligning organizations, and integrating AI/LLMs for scenario analysis and insights. Requires 6+ years experience with TypeScript, NestJS, PostgreSQL, and cloud platforms.

Build and maintain core data models, pipelines, and reporting infrastructure using modern data stack tools to enable decision-making across product, ops, and GTM teams. Requires 3-6 years of production data/analytics engineering experience and expert SQL.

Lead and grow engineering teams building provider-facing tools at a Series D mental health platform. Drive product outcomes, mentor engineers, and shape AI-powered clinical documentation and group practice workflows.

Own post-sale success, growth, and impact for strategic biopharma accounts. Drive client onboarding, retention, and expansion while collaborating with product, engineering, and data teams.

Builds and debugs AI agent infrastructure for healthcare automation, including prompt engineering, runtime issue tracing, evaluation datasets, simulation tooling, data pipelines, and observability dashboards. Requires 2-7 years experience with production LLMs/AI agents and TypeScript proficiency.

Conducts machine learning research in medical NLP for conversation summarization, evidence extraction, and outcome prediction. Publishes at top AI conferences, deploys models to production, and requires MS/PhD plus strong PyTorch/TensorFlow experience.

Staff Fullstack Engineer building end-to-end ownership of therapist practice management, patient engagement, and AI-enabled clinical systems. Owns features from database schema to UI while shaping technical strategy.