---
title: 'Research & Science at System'
canonical: 'https://feeny.ai/job/research-science-system-new-york-new-york-qqa97gxsa1ve'
type: 'job'
last_seen: '2026-09-08'
---

# Research & Science at System

- **Company:** System
- **Location:** New York New York, United States
- **Work type:** remote
- **Posted:** 2026-06-04
- **Last confirmed live:** 2026-09-08
- **Apply:** https://job-boards.greenhouse.io/system/jobs/6014292004

## Job description

Welcome systems thinkers. System builds software to help the world see and solve anything as a system, starting in healthcare. We are a Public Benefit Corporation driven by purpose and shaped by values. We hire systems thinkers who are motivated by our purpose, share our values, and have the skills to advance our mission.

At System, research is the origin of our most important ideas — and researchers work at the frontier of graph theory, clinical AI, causal inference, and knowledge representation to push the boundaries of what our platform can do.

As a researcher at System, you will:

- Develop and validate novel methods for modeling complex, interconnected systems
- Work at the intersection of graph theory, machine learning, and domain-specific knowledge
- Collaborate with Data Science and Engineering to transition research findings into production
- Publish and present findings that advance both the field and System's mission
- Partner with clinical and domain experts to ground research in real-world impact
- Contribute to a culture of intellectual rigor, curiosity, and continuous learning

The ideal candidate has:

- Master's or PhD in Computer Science, Statistics, Biomedical Informatics, or a related field
- A strong publication record or equivalent applied research experience
- Deep expertise in machine learning, statistical modeling, or computational methods
- Experience working with complex, heterogeneous, or graph-structured data
- Ability to communicate research findings clearly to both technical and non-technical audiences
- Comfort operating in a fast-paced startup environment alongside a long research horizon

Bonus if you have:

- Experience with clinical NLP, EHR data, or healthcare ontologies (SNOMED, ICD, OMOP)
- Familiarity with knowledge graphs, semantic web technologies, or ontology engineering
- Background in causal inference, systems dynamics, or complex adaptive systems
- Experience collaborating with clinicians, policymakers, or public health researchers

You might be a fit if you:

- Think in systems — mapping feedback loops, interdependencies, and second-order effects comes naturally to you
- Are motivated by purpose-driven work, particularly at the intersection of technology and healthcare
- Believe technology should be a force for good and are drawn to the Public Benefit Corporation model
- Hold yourself and your work to a values-first standard, not just a deliverables-first one
- Lead with first principles and are comfortable questioning assumptions others take for granted
- See complexity as an invitation, not an obstacle — you thrive when problems are messy and interconnected
- Care about the downstream effects of what you build — on users, on systems, on society
- Operate with intellectual humility — always learning, always open to being wrong

Compensation:

Commensurate with experience and level.

## About System

We aspire to help the world see itself differently and build a more responsible and values-driven model of a tech company. We are backed by top-tier VCs in Silicon Valley and New York and leading angel investors and founded by the former VP Data at Spotify. To learn more about what motivates our social mission, we invite you to read our blog [here](https://about.system.com/blog).

We believe in the power of autonomous, interdisciplinary, and diverse teams; in agile development; and in leading with values, first principles, and clear high-level priorities backed by data.  We believe in cultivating a growth mindset for our team — always learning, improving, being challenged, and having opportunities for professional and personal development.

System Inc. is an equal opportunity employer. We are proud to foster a workplace, in person and online, free from discrimination. We strongly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and a better product for our users. We are committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Job applicants must be legally authorized to work in the United States of America and must maintain ongoing work authorization during employment.

## About System

## Company Overview
- **One-liner**: System is building the first AI-powered quantitative model of the world as one interconnected system, starting with biomedical knowledge, to help people understand and solve complex global challenges.
- **Entity Type**: Private (Public Benefit Corporation)
- **Headquarters**: New York, New York, United States
- **Founded**: Not publicly available
- **Founders**: Chethan Gangireddy, MD, MPH, MBA

## Core Business
- Primary industry: Healthcare AI / Knowledge Infrastructure / Systems Science
- Target customers: B2B (enterprise licenses for life sciences, research institutions, and universities); B2C (free public access to System.com); Research community (open data access)
- Mission or purpose statement: "To relate everything, to help the world see and solve anything, as a system."

## Products & Services
- **System Graph**: The core product — a quantitative, AI-powered model of the world as one interconnected system, surfacing relationships from peer-reviewed studies and expert-curated databases.
- **System Health**: An application built on the System Graph that allows users to investigate the determinants, interventions, and outcomes for any disease, and explore molecular pathways, contextualizing every health decision.
- **Synthesis**: An application that generates accurate, transparent, and up-to-date syntheses of the literature for any biomedical topic.
- **WholeHealth**: An application (likely enterprise-facing) for a holistic view of health as one interconnected system.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Secured funding from Wellcome Trust in 2025 to support the release of the System Graph into the commons for research purposes, commencing in 2026.
- **Notable Investors/Partners**: Wellcome Trust (funding partner); Lead Investors listed on team page (names not specified in provided data); Collaborated with Cornell Tech for a Climate Week Hackathon.
- **Growth Signals**: Actively hiring across multiple teams (Software Engineering, Data & AI/ML Engineering, Research & Science, Product, Operations); 50% non-male and 43% non-white team diversity as of 12/31/2025; planning to make System Graph tools openly available to researchers in 2026.

## Competitive Advantages
- **Systems-level approach**: Unlike siloed biomedical databases, System models the entire world as one interconnected system, enabling novel insights across diseases, determinants, and interventions.
- **Transparency & open science**: Committed to open data, open science, and sharing statistical metadata in an open, interoperable format — a significant moat for trust and adoption in the scientific community.
- **Public Benefit Corporation charter**: Legally codified commitments to user privacy (never selling data), open access, diversity, and scientific integrity, creating a strong brand and talent differentiator.
- **AI-native knowledge infrastructure**: Built from the ground up to be an AI-powered, constantly evolving model of the world, not a traditional database or search engine.

## Strategic Focus
- **Open access for research**: Releasing the System Graph into the commons for research purposes in 2026, starting with universities and research organizations.
- **Enterprise licensing**: Monetizing through enterprise licenses to fund the free public platform and R&D.
- **Systems literacy**: Supporting education and outreach initiatives to promote systems thinking in society.
- **Responsible AI**: Maintaining rigorous internal review of features for unintended consequences before public release (though no public-facing features were released in 2025).

## Why Work Here
- **Mission-driven**: A Public Benefit Corporation with a clear, ambitious mission to organize the world’s knowledge as a system to solve humanity’s biggest challenges (health, climate, inequality).
- **Diverse & inclusive culture**: 50% non-male and 43% non-white team as of 2025, with explicit commitments to diversity in hiring and employment practices at all levels.
- **Remote-friendly**: Based in New York City but actively supports remote work for all open roles.
- **Interdisciplinary team**: A mix of systems thinkers from AI/ML, engineering, product, research & science, and operations — ideal for those who want to work at the intersection of technology and science.
- **Values-driven**: Strong emphasis on rationality, openness, impact, humility, and the scientific method — a culture that prioritizes accuracy and intellectual rigor.
- **Early-stage growth**: Actively hiring across multiple teams, suggesting significant investment and scaling.

## Sources
1. [system.com - Company Overview](https://system.com/)
2. [system.com - Careers Page](https://www.system.com/company/careers)
3. [system.com - Team Page](https://www.system.com/company/team)
4. [system.com - Public Benefit Charter](https://www.system.com/company/charter)
5. [system.com - 2025 Public Benefit Report](https://www.system.com/blog/2025-public-benefit-report)

## Other roles at System

- [Software Engineering](https://feeny.ai/job/software-engineering-system-new-york-new-york-rngq6b23ttrp) — New York New York, United States
- [Product](https://feeny.ai/job/product-system-new-york-new-york-xkbbjwgs0bsz) — New York New York, United States
- [Operations, Strategy & Business](https://feeny.ai/job/operations-strategy-business-system-new-york-new-york-p9339xnsqry3) — New York New York, United States
- [Data & AI/ML Engineering](https://feeny.ai/job/data-ai-ml-engineering-system-new-york-new-york-y15ea6e2ckpr) — New York New York, United States