Full-Time

Research & Science

Updated on 8/19/2026

System

System

11-50 employees

Causal, data-driven maps of complex systems

No salary listed

New York, NY, USA

Remote

Master's, PhD

Category
AI & Machine Learning (1)
Required Skills
Data Science
Machine Learning

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Requirements
  • A Master's or PhD in Computer Science, Statistics, Biomedical Informatics, or a related field is required.
  • A strong publication record or equivalent applied research experience is required.
  • Deep expertise in machine learning, statistical modeling, or computational methods is required.
  • Experience working with complex, heterogeneous, or graph-structured data is required.
  • The candidate must be able to communicate research findings clearly to technical and non-technical audiences.
  • The candidate must be comfortable operating in a fast-paced startup environment alongside a long research horizon.
Responsibilities
  • 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 the field and the company'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.
Desired Qualifications
  • Experience with clinical natural language processing, electronic health record data, or healthcare ontologies such as SNOMED, ICD, and 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.

System, Inc. helps people understand and address complex global problems by turning vast data into system maps. It builds data-driven graphical models that show how factors interrelate—starting with public health topics like COVID-19 and its links to diabetes and obesity—and aggregates thousands of sources, including peer-reviewed research, to illustrate cause-and-effect relationships. The platform is designed for researchers, policymakers, and the public to explore problems, identify intervention points, and make smarter decisions based on how events and conditions influence each other. What sets System apart is its focus on systems thinking and causal inference within a public benefit framework, plus a dedicated platform for visualizing knowledge graphs that connect data to real-world decisions. The company aims to improve collective understanding of complex systems and empower better actions by revealing interdependencies and intervention points across global issues.

Company Size

11-50

Company Stage

Grant

Total Funding

$19M

Headquarters

New York City, New York

Founded

2017

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Simplify Jobs

Simplify's Take

What believers are saying

  • Wellcome added $6.5 million on December 16, 2025, validating public-interest demand.
  • System Health launched the Clinical Graph and EHR integrations in 2026.
  • System's July 22, 2026 benchmark claims category-leading diagnostic performance on MIMIC-IV-Ext-DiReCT.

What critics are saying

  • Elicit, Consensus, and Perplexity already dominate evidence search; System Pro faces commoditization.
  • Wellcome's 2025 PRI restricts charter changes for five years, limiting strategic pivots.
  • Google Data Commons GA on August 4, 2026 compresses System's graph-infrastructure moat.

What makes System unique

  • System’s patented graph architecture unifies health, climate, and economics into one model.
  • System Pro targets health and life-sciences researchers with explainable, cited synthesis.
  • Wellcome-backed commons release in 2026 differentiates System as public-interest infrastructure.

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Benefits

Flexible Work Hours

Professional Development Budget

Growth & Insights and Company News

Headcount

6 month growth

4%

1 year growth

-4%

2 year growth

-4%
PR Newswire
Dec 16th, 2025
Wellcome invests $6.5M in System to organise scientific knowledge as interconnected graph

System, a Public Benefit Corporation building a quantitative model of the world as one interconnected system, has received a $6.5 million program-related investment from Wellcome Trust. This marks one of the foundation's first such investments in public interest technology. The funding will enable System to release the System Graph into the commons, develop open-source tools for researchers, and build a global community of systems thinkers. The System Graph aims to organise data and knowledge across traditional silos like disciplines and scales. Under the agreement, System must maintain its Public Benefit Corporation status for five years and cannot materially change its mission without Wellcome's approval. Founder and CEO Adam Bly said the investment ensures the company's mission remains durable and sustainable whilst driving systems-based research and solutions globally.

Business Wire
May 7th, 2024
Us Medical Innovations Secures Fda Clearance For Canady Helios Cold Plasma(Tm) Ablation System

TAKOMA PARK, Md.--(BUSINESS WIRE)--US Medical Innovations, LLC (USMI) announced today it has received FDA 510k Clearance (K240297) for the Canady Helios Cold Plasma™ (CHCP) Ablation System for the ablation of soft tissue during surgery. The CHCP system consists of the Canady Helios Cold Plasma XL-1000 CP Smart Electrosurgical Generator, Canady Helios Cold Plasma Ablators, Foot Pedal and Trolley Cart. Plasma is the fourth state of matter formed by ionizing neutral gases (i.e. Argon or Helium) combined with electromagnetic fields. The Canady Helios Cold Plasma™ System introduces a novel approach to soft tissue ablation using plasma. The system creates a plasma jet consisting of a pre-programmed, pulsed, non-contact, non-thermal (24 C to 30 C), three-dimensional, Plasma Treated Electromagnetic Field™ (PTEF)

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