---
title: 'Forward Deployed Engineer at Medeloop'
canonical: 'https://feeny.ai/job/forward-deployed-engineer-medeloop-new-york-d8329s88p8y6'
type: 'job'
last_seen: '2026-10-15'
---

# Forward Deployed Engineer at Medeloop

- **Company:** Medeloop
- **Location:** New York, NY / San Francisco, CA
- **Work type:** hybrid
- **Posted:** 2026-10-05
- **Last confirmed live:** 2026-10-15
- **Apply:** https://job-boards.greenhouse.io/medeloop/jobs/4434047009

## Job description

## The Role

As a Forward Deployed Engineer, you’ll deploy Medeloop’s systems and products into the customer’s cloud where their data sits, connect them to the tools their teams already use, and build bespoke clinical and research workflows on top, with our platform as the spine. You’ll work side by side with researchers, analysts, data engineers, and security teams, and you’ll own each deployment from the first scoping call to production. You’re the person who turns a first deployment into a lasting customer.

Key Responsibilities:

- Deploy Medeloop’s systems and products in each customer’s cloud with infrastructure as code and our deployment pipeline.
- Build the connectors and tools the agent calls, from lakehouse tables and internal APIs to EHR data over FHIR.
- Turn a team’s procedures, definitions, and business logic into agent workflows and playbooks on Medeloop’s products, so the agent works the way that team works.
- Define evaluations and launch criteria with the customer, test against answers their experts trust, and ship only when the workflow meets them.
- Scope each workflow with the customer, estimate the effort, build, test, take it live, and measure it against the success criteria you agreed on.
- Bring a security-first mindset to everything you build. You’ll work with sensitive patient data in a highly regulated environment under HIPAA, and you’ll walk customer security teams through private connectivity, access controls, and PHI handling, explaining precisely what stays in their environment and what returns.
- Turn custom builds into reusable connectors, playbooks, and platform features, and bring what you learn in the field back to product and engineering. Hold the line on one-off requests that won’t make the product better.
- Monitor the workflows you ship, fix what breaks when customer systems change, and improve them as usage grows.
- Join discovery and scoping conversations with our leadership, and help size the work before it’s priced.

Who You Are:

- Experience building scalable agentic systems that carry out long-horizon, multi-step tasks, and designing the evaluation frameworks that show they work reliably.
- Experience building with LLM APIs, including tool calling, MCP or similar protocols, prompt and workflow design, and evaluations.
- Deep, day-to-day fluency with coding agents such as Claude Code, Codex, and Cursor, and a track record of using them to ship high-quality code fast.
- Hands-on experience with major cloud providers and their infrastructure.
- Experience with data lakehouses and warehouses.
- An extremely clear communicator, in writing and in person, with technical and non-technical audiences alike.
- Confidence in a room with a researcher, a data engineer, and a CISO, and the ability to turn ambiguous requests into scoped, shippable work.
- Comfort with autonomy and ambiguity, the judgment to move fast without cutting corners on security, and a willingness to travel to customer sites.
- Fearlessness about learning, with the eagerness to dive into bespoke workflows and niche concepts you’ve never seen before and to take on ambitious projects outside your past experience.
- Nice to have: Experience with EHR, claims, OMOP, or FHIR data, and work under HIPAA or in another highly regulated deployment environment; forward-deployed, solutions, or implementation engineering, ideally at a startup; and containers and sandboxing. A clinical or healthcare background is not required.

## Why Medeloop

- Ownership from day one: small team, high-trust, no layers between your work and its impact
- Technically ambitious: you'll build AI-powered workflows, not just support them
- Real-world stakes: your work accelerates drug development, addresses health equity, and improves clinical research for institutions that matter
- Strong foundation: Series A, top-tier investors, and a data asset (200M+ patient records) that most companies spend years trying to build

## About Medeloop

## Company Overview
- **One-liner**: Medeloop provides an AI-powered agentic platform that spans the full clinical research lifecycle—from grant discovery and proposal writing to real-world evidence analysis and point-of-care decision support.
- **Entity Type**: Private (Series A; $23.5M total funding)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2021
- **Founders**: Rene Caissie (Co-Founder & CEO), Josh Walonoski (Co-Founder & CRCO)

## Core Business
- **Primary industry**: Healthcare IT / Clinical Research Technology
- **Target customers**: B2B – academic medical centers, research universities, health systems, biopharma organizations, and individual clinical researchers
- **Mission statement**: "Empower clinical researchers and healthcare teams with AI tools to generate evidence more efficiently, thoroughly, and productively."

## Products & Services
- **Medeloop Analytics** (SaaS): Purpose-built AI agents for real-world evidence generation. Users ask research questions in plain English; the platform executes validated, auditable queries on federated data (EHR, claims, registries) without needing SAS, R, or Python. Built-in 7-dimension validation and publication-ready outputs.
- **Medeloop Care** (SaaS): AI-driven clinical decision support that reads the full patient record (EHR, labs, meds, devices) to generate summaries, recommend next-best actions, detect care gaps, and perform risk stratification. Launches natively from the existing EHR.
- **Medeloop Grants** (SaaS): AI-powered grant discovery and proposal writing tool that runs inside ChatGPT. Covers NIH, grants.gov, and curated databases; generates specific aims pages, biosketches, and full proposals. Validated to outperform generic AI for NIH applications.
- **EvidenceKit** (Bundle): A subscription that combines Medeloop Analytics with the HealthVerity all-payer claims dataset (Commercial, Medicaid, Medicare) for immediate research use. Provides de-identified, HIPAA-certified data with no procurement or data engineering overhead.

## Market Standing
- **Valuation**: Not publicly available
- **Key Metric**: $23.5M total funding (Seed: $8M led by General Catalyst, Sept 2023; Series A: $15.5M led by Inovia Capital, Nov 2024). Annual revenue estimated at ~$1.0M (per LinkedIn).
- **Notable Investors**: General Catalyst, Icon Ventures, Inovia Capital, Healthier Capital (Series A with 6 investors)
- **Growth Signals**: 35 employees (+30% YoY); originated from Stanford University; partnering with top NIH-funded institutions; active job postings up 400% year-over-year (5 open roles as of mid-2026); presence across US, Canada, Colombia, and Peru.

## Competitive Advantages
- **Federated execution**: Compute goes to the data; data never leaves the customer's infrastructure, solving compliance and security concerns.
- **No data harmonization required**: Semantic engine reads data natively (no OMOP mapping needed), saving months of preparation.
- **Human-in-the-loop validation**: Every step is auditable, editable, and transparent, meeting HARPER/STaRT-RWE standards and earning a 82.6% quality score.
- **Full lifecycle platform**: The only tool connecting funding (Grants), study management & analysis (Analytics), and care delivery (Care) in one continuous loop.

## Strategic Focus
- Expand enterprise adoption of federated analytics across health systems and academic medical centers.
- Deepen integration with EHRs and claims data sources (e.g., HealthVerity) to accelerate time-to-evidence.
- Scale the Grants product as a standalone offering while bundling Analytics and Care for institutional customers.
- Grow the engineering and AI/ML team to build additional agentic workflows and improve model performance.

## Why Work Here
- **Mission-driven**: Tackle one of healthcare's hardest problems—accelerating clinical research to improve patient outcomes.
- **Team & culture**: "A team of builders" backed by top-tier VCs; includes leaders from AI, life sciences, and medical research. Casual, fast-moving startup environment.
- **Remote/hybrid**: Headquartered in San Francisco with remote team members in Canada, Colombia, and Peru; likely supports distributed work.
- **Engineering culture**: Emphasis on AI agents, ML, NLP, and secure data infrastructure; open roles include Staff AI/ML Engineer, Senior SDE in Test, Senior SRE, and Senior AI Data Engineer.
- **Growth opportunities**: Rapidly scaling company (5 open positions, 400% increase in postings) with room to shape the product and architecture.

## Sources
1. [Medeloop.ai](https://medeloop.ai/)
2. [Medeloop About Page](https://medeloop.ai/about)
3. [Medeloop LinkedIn](https://www.linkedin.com/company/medeloop)
4. [CB Insights - Medeloop](https://www.cbinsights.com/company/medeloop)
5. [Greenhouse Careers - Medeloop](https://job-boards.greenhouse.io/medeloop)

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