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Smart Contract Researcher Jobs (NOW HIRING)

Injective Labs

Quant Researcher

New York, NY · On-site +1

Injective provides an interoperable smart contracts platform that is optimized for building ... About the role We are looking for a Quantitative Researcher to fit into our existing highly-skilled ...

Paxos Labs

Lead Security Engineer

New York, NY · On-site

$112K - $147K/yr

Smart Contract Security * Cloud Security * Operational Security Responsibilities Cloud Security ... Create threat models for first party and third party software, research possible vulnerabilities ...

Photon

Blockchain Developer - Dallas, TX

Dallas, TX

Audit and optimize existing smart contracts for security and efficiency. Protocols and Consensus Algorithms: * Research and implement consensus algorithms and cryptographic techniques for blockchain ...

Photon

Blockchain Developer - Dallas, TX

Dallas, TX · On-site

Audit and optimize existing smart contracts for security and efficiency. Protocols and Consensus Algorithms: * Research and implement consensus algorithms and cryptographic techniques for blockchain ...

TechChain Talent

Protocol Lead

New York, NY · Remote

$112K - $147K/yr

... smart contract layer. We empower teams to create modular, programmable policies such as AML/CFT ... You will build tooling to support integrations, contribute to core infrastructure, and research ...

De Circle

Interval - Solidity Engineer

New York, NY · On-site +1

You'll be working alongside world-class engineers, researchers, and product leaders to implement secure, scalable smart contracts that power the Interval protocol. We come from Chainlink, NEAR ...

Orbofi

Designing, implementing, and maintaining scalable and secure smart contracts on EVM-based ... Researching and staying current on the latest advancements in blockchain technology, decentralized ...

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Smart Contract Researcher information

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$30K

$113.1K

$164.5K

How much do smart contract researcher jobs pay per year?

As of Sep 13, 2026, the average yearly pay for smart contract researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Smart Contract Researcher job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Quant Researcher

New York, NY • On-site, Remote

Injective Labs
Internet and IT • 11 - 50 employees
Learn more about Injective Labsexternal

Full-time

Medical, PTO

Re-posted 23 days ago

Key responsibilities

  • Analyze market microstructure and on-chain data to identify inefficiencies and trading opportunities.

  • Design and implement market-making, arbitrage, and systematic trading strategies.

  • Build and maintain data pipelines, research platforms, and trading system components, including order management and exchange connectivity.

Job description

About Injective Labs
Injective Labs is trailblazing a new dawn for Web3 enabled finance. We are the core contributors to Injective, one of the fastest growing blockchains in the industry.
Injective provides an interoperable smart contracts platform that is optimized for building decentralized finance applications. Interoperability is at the core of Injective, which is natively integrated with chains such as Ethereum, Cosmos and Solana. Developers can rapidly launch premier financial applications suited for mass adoption using Injective's infrastructure and specialized DeFi primitives such as the world's first fully on-chain order book.
Our team has decades of experience spearheading the largest financial institutions and tech organizations. Injective is incubated by Binance and is backed by leading firms such as Jump Crypto, Pantera and Mark Cuban.
About the role
We are looking for a Quantitative Researcher to fit into our existing highly-skilled NY-based quantitative team. You will report directly to the Quant Team Lead and work closely with the broader Quant team. As a part of our Quant team, you'll be studying the crypto market to find profitable trading opportunities and build automated trading strategies. The ideal candidate would be someone who has experience working with low-latency execution engines, handling real-time market data, and producing strategies that react immediately to market changes. If this sounds like you and you enjoy working in fast-paced environments, this role is for you!
Responsibilities:
  • Analyze market microstructure and on-chain data to identify inefficiencies and trading opportunities.
  • Apply statistical and machine-learning techniques to generate, validate, and improve trading signals.
  • Design and implement market-making, arbitrage, and systematic strategies end-to-end.
  • Build and maintain signal-generation pipelines, feature stores, and parameter-optimization tooling.
  • Develop robust backtesting frameworks; conduct performance analysis and attribution.
  • Implement trading system components, including order management and exchange connectivity.
  • Build and operate data pipelines and research platforms for high-quality, reproducible research.
  • Ensure system reliability, scalability, and latency/performance optimization in production.
  • Implement risk monitoring and control systems across strategies and venues.
  • Run post-trade analytics to evaluate execution quality, slippage, and market impact.
  • Develop risk metrics, dashboards, and reporting tools for strategy and portfolio oversight.
  • Run simulations and estimate market impact for both liquid and illiquid assets.

Who you are:
  • M.S. or Ph.D. in Mathematics, Physics, Statistics, Computer Science, or a related quantitative field.
  • 3-5 years of quantitative research/analysis or development experience.
  • Experience in HFT development.
  • Strong foundation in probability, statistics, time-series modeling, and quantitative methods.
  • Expert-level Python for research and production; proficiency in C++ or Rust for performance-critical components.
  • Solid grasp of data structures, algorithms, software engineering principles, and version control.
  • Experience with statistical analysis, backtesting methodologies, and strategy development.
  • Ability to create and use algorithms to investigate large datasets and resolve data/logic errors with rigor.
  • Understanding of financial markets, trading concepts, and risk-management principles.
  • Ideally based in New York or willing to relocate.

Preferred:
  • Experience with machine-learning frameworks and distributed/parallel computing.
  • Familiarity with Linux development environments and modern DevOps practices.
  • Understanding of cryptocurrency markets, DeFi protocols, and on-chain analytics.
  • Experience with real-time trading systems, low-latency applications, and exchange integrations.
  • Knowledge of blockchain technology, smart-contract fundamentals, and MEV-aware strategies.
  • Professional certifications (e.g., CFA, FRM), prior experience in quantitative trading/fintech, and/or publications in relevant fields.

Why work with us?
  • Competitive salary and INJ token award.
  • Unlimited PTO.
  • Health Insurance.
  • Equipment.
  • Home Office Stipend.
  • Flexible working hours.
  • Opportunity to work on cutting-edge blockchain technology in the finance industry.
  • Collaborative team culture with opportunities for professional growth and development.
  • Global team meet ups.

As an equal opportunity employer we don't tolerate discrimination or harassment of any kind. Whether that's based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.
We will only contact candidates using emails from the @injectivelabs.org domain. If you are approached by any other account or domain regarding this position, it was not sent by us. Please stay cautious and report any suspicious communication.

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