--- title: 'General Interest at BenchSci' canonical: 'https://feeny.ai/job/general-interest-benchsci-toronto-bn99zbrek6by' type: 'job' last_seen: '2026-09-10' --- # General Interest at BenchSci - **Company:** BenchSci - **Location:** Toronto, Canada - **Work type:** hybrid - **Posted:** 2026-06-25 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.lever.co/benchsci/50c69c0a-fa03-40ec-8ce2-0bda9ed04db2 ## Job description Don't See the Right Role? We Still Want to Hear From You. At BenchSci, our mission is to unravel the complexity of disease biology — so that fewer drugs fail, fewer years are wasted, and more patients get the medicines they need faster. We're a team of scientists, engineers, product builders, salespeople, and all the folks behind the scenes who make it possible — and we're always excited to hear from talented people who believe in what we're building. While we don't have an open role that fits right now, we'd love to learn more about you. Whether your background is in science, software, sales, operations, or something else entirely — if BenchSci feels like your kind of place, drop us a note. ## About BenchSci ## Company Overview - **One-liner**: BenchSci builds AI-powered agentic research environments that decode disease biology to accelerate preclinical drug discovery for biopharma R&D. - **Entity Type**: Private (Series D) - **Headquarters**: Toronto, Ontario, Canada - **Founded**: 2015 - **Founders**: Liran Belenzon, Tom Leung, Elvis Wianda, Ph.D., David Qixiang Chen ## Core Business - **Primary Industry**: Healthcare IT / Artificial Intelligence for Drug Discovery - **Target Customers**: Enterprise biopharma R&D teams (B2B); serves 16 of the top 20 pharmaceutical companies and over 4,500 research centers worldwide [benchsci.com](https://www.benchsci.com/company) - **Mission**: To unravel the complexity of disease biology so that fewer drugs fail, fewer years are wasted, and more patients get the medicines they need faster [benchsci.com](https://www.benchsci.com/company) ## Products & Services - **EMET (The Agentic Workbench)**: A purpose-built agentic research environment for preclinical R&D that reasons and acts like a team of PhD scientists. It unifies data, models, software packages, and workflows, allowing scientists to ask complex research questions in plain language and receive traceable, actionable insights across hypothesis generation, target identification, experiment design, and lead optimization [benchsci.com](https://www.benchsci.com/). - **ASCEND**: A GenAI platform launched in 2022 that gives scientists an unprecedented understanding of disease biology across all therapeutic areas — not a search tool, but a reasoning platform [benchsci.com](https://www.benchsci.com/company). - **Proprietary Knowledge Graph**: An underlying data asset with 858M nodes, 2.2B relationship edges, and access to 38M+ scientific publications including 16M closed-access papers through publisher partnerships [benchsci.com](https://www.benchsci.com/). ## Market Standing - **Total Funding**: $174.1M+ across 13 prior funding rounds [linkedin.com](https://linkedin.com/company/benchsci). - Notable rounds: $50M Series C led by Inovia Capital and TCV; $70M Series D led by Generation Investment Management, bringing total investment to over $200M [benchsci.com](https://www.benchsci.com/company). - **Key Metric (Annual Revenue)**: $35M (estimated, from LinkedIn signals) [linkedin.com](https://linkedin.com/company/benchsci). - **Notable Investors/Partners**: F-Prime, Gradient Ventures (Google’s AI fund), Inovia Capital, TCV, Generation Investment Management [benchsci.com](https://www.benchsci.com/company). - **Growth Signals**: - Over 50,000 scientists across 4,500+ research centers worldwide use BenchSci products [benchsci.com](https://www.benchsci.com/company). - Serves 16 of the top 20 global pharma companies [linkedin.com](https://linkedin.com/company/benchsci). - Launched EMET, an agentic research environment, positioning the company as infrastructure for how drug discovery gets done, with a neuro-symbolic evaluation loop delivering 95%+ accuracy — 2–4x better than frontier LLMs [benchsci.com](https://www.benchsci.com/). - Headcount of ~217 employees (down ~36% YoY, following strategic re-focusing) [linkedin.com](https://linkedin.com/company/benchsci). ## Competitive Advantages - **Proprietary Data Moat**: An eight-year head start building a knowledge graph with 858M nodes and 2.2B edges, plus legal access to 16M closed-access scientific papers through dedicated publisher partnerships. Competitors cannot replicate this data asset quickly [benchsci.com](https://www.benchsci.com/). - **Scientific Expertise at Scale**: Employs 60+ PhD scientists who manually curate and validate data points (antibodies, cell lines, animal models), ensuring the AI is built on ground-truth biology, not just scraped public data [benchsci.com](https://www.benchsci.com/). - **Neuro-Symbolic AI**: Uses an evaluation loop that orchestrates frontier LLMs alongside domain-specific models (ESM-2, AbLang2, RDKit), achieving 95%+ accuracy on complex biomedical tasks — significantly outperforming general-purpose LLMs [benchsci.com](https://www.benchsci.com/). - **Deep Enterprise Integration**: Dedicated PhD teams deployed with each enterprise customer to train users, build bespoke connectors, and offer a scientific partnership — not just a software support team. This creates high switching costs [benchsci.com](https://www.benchsci.com/). ## Strategic Focus - **Product-Led Growth of Agentic AI**: The current priority is scaling EMET as the primary platform for preclinical R&D, positioning it as infrastructure (comparable to how Cursor changed how engineers work) rather than a simple productivity tool [benchsci.com](https://www.benchsci.com/). - **Deepening the Data Moat**: Continuing to invest in proprietary data (knowledge graph, publisher partnerships) that AI models require for reliable scientific reasoning, while ensuring compliance with regulated biopharma requirements. - **R&D-First Commercial Model**: Going deep into biopharma R&D rather than wide across industries, maintaining a science-first approach where PhD scientists and engineers work side by side to earn the trust of users. ## Why Work Here - **Profound Impact**: Work directly on problems that affect scientists and patients — helping to reduce the failure rate of drugs and accelerate the delivery of new medicines [benchsci.com](https://www.benchsci.com/careers). - **AI-First by Default**: AI is the starting point for how the company thinks, builds, and operates. All employees are expected to experiment, build fluency, and use AI to increase their impact [benchsci.com](https://www.benchsci.com/careers). - **Cross-Disciplinary Collaboration**: Tight partnership between scientists, engineers, product, and design. Progress requires shared context and close collaboration across disciplines — not working in isolated teams [benchsci.com](https://www.benchsci.com/careers). - **Hybrid & Global Work Model**: Toronto employees work in a hybrid model with regular in-office time. Remote-first team members are fully integrated, and all employees have access to shared experiences and company events [benchsci.com](https://www.benchsci.com/careers). The workforce is distributed across 7 countries (including Canada, US, UK, Brazil, and Netherlands) [linkedin.com](https://linkedin.com/company/benchsci). - **Growth & Well-being Investment**: - Annual learning and development budget for each employee [benchsci.com](https://www.benchsci.com/careers). - Comprehensive health/dental coverage including mental health support from day one [benchsci.com](https://www.benchsci.com/careers). - Total compensation reviewed annually for competitiveness and fairness [benchsci.com](https://www.benchsci.com/careers). - **Ownership Culture**: The company values people who own outcomes, prioritize outcomes over process, and make the best decisions with available information — while supporting and empowering people to succeed [benchsci.com](https://www.benchsci.com/careers). - **FASTT Values**: The company operates by clear values that guide decision-making, priorities, and how people show up for one another [benchsci.com](https://www.benchsci.com/careers). ## Sources 1. [benchsci.com/careers](https://www.benchsci.com/careers) 2. [benchsci.com/company](https://www.benchsci.com/company) 3. [benchsci.com](https://www.benchsci.com/) 4. [linkedin.com/company/benchsci](https://linkedin.com/company/benchsci) 5. 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