--- title: 'Founding Member, Life Sciences at Argon AI' canonical: 'https://feeny.ai/job/founding-member-life-sciences-argon-ai-new-york-m6n5y2acdvh2' type: 'job' last_seen: '2026-09-11' --- # Founding Member, Life Sciences at Argon AI - **Company:** Argon AI - **Location:** New York, NY - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-07-29 - **Last confirmed live:** 2026-09-11 - **Apply:** https://jobs.ashbyhq.com/argon-ai/93e6db2b-3824-4ef9-9ebe-cf19d6cc1959 ## Job description ## About Argon The next decade belongs to biology. Bio foundation models are turning experimental guesswork into prediction, and the industry built on that science is set to produce more medicine, faster, than at any point in history. The bottleneck for bringing these medicines to patients will be everything downstream of the science: clinical & regulatory strategy, portfolio decision making, the governance reviews, launch planning. That work is still done by smart people manually assembling context from a hundred sources, and it moves at the speed of headcount. Argon builds the AI workforce for that layer. Our platform provides workflow automation purpose-built for biopharma commercial and portfolio teams, specialized from the data model up. We're an early-stage YC-backed company founded in 2024, working with top-tier pharma and several of the largest life sciences consultancies. We're growing quickly, with 7-figure ARR up 5x year-to-date. We pride ourselves on outsized output, being kind, and balancing excellence and progress. Join us if you want to be productive, move fast, and shape the future. ## Why this role You'd be the first industry hire on the Life Sciences team. The Life Sciences team is the group of industry experts that help bridge industry expertise with AI systems. We are looking for an expert with first-hand experience navigating pharma’s portfolio strategy, governance and commercial operations to help us bridge that critical domain knowledge with our platform. You will help our partners get value from our software products, drive deployments, and identify use-cases and opportunities to drive our product execution. Concretely, the split looks like: - 40% client-facing business development. Industry events, prospect conversations, and translating what Argon does into the specific decision VPs in Commercial teams are trying to make next quarter. - 40% deployment. Hands-on onboarding, training, and working sessions with new and current accounts. You own whether users get real value in the first 60 days. - 20% product. You're the voice of the customer in our roadmap. Surface the workflows we're not serving and the gaps between what the current version of Argon can do and what the job actually requires. This is a founding role. There is no playbook, no established territory, and no one above you who knows this domain better. You'll write the playbook and help to build this function from the ground up. ## What you bring - 6+ years in commercial and portfolio strategy in biopharma. Direct biotech or big pharma experience is preferred over pure consulting. - Deep working knowledge of pharma's internal governance process for clinical and commercial decision-making with first hand experience seeing how decisions actually get made. - Experience running client-facing, multi-stakeholder engagements with real complexity. - Genuine comfort operating without structure. The most common way this role fails is someone excellent who needs a defined process to work inside. - You already use AI tools in your own work. ## What you’ll be responsible for - Drive business development efforts including attendance of industry events and leading client conversations for tailored use cases of Argon’s platform - Lead customer deployments with hands-on training and working sessions to help users get value from the platform quickly - Help shape product strategy and roadmap by deeply understanding customer workflows and the gaps in the current product ## Compensation Compensation is dependent on experience and fit. We aim for a culture of competitive market salary and top 10% in equity. - Cash compensation: $170,000 – $240,000 - Equity: .2% - 1% ## About Argon AI ## Company Overview - **One-liner**: Argon AI provides an AI-native workspace for life sciences teams to automate data-intensive workflows, from competitive intelligence and clinical trial benchmarking to primary market research. - **Entity Type**: Private (Seed stage) - **Headquarters**: Brooklyn, New York, United States - **Founded**: 2023 - **Founders**: Samy Danesh (CEO) and Cyrus Jia ## Core Business - **Primary industry/industries**: Life Sciences Software, AI for Pharma Intelligence, Biotechnology Enterprise Software - **Target customers**: B2B; enterprise biopharma companies, biotechs, and life science consulting firms - **Mission or purpose statement**: "We believe AI will power teams of scientists and pharma professionals to bring therapies and treatments to patients faster and more efficiently. Patients are waiting, and the science is ready." [argon-ai.com](https://argon-ai.com/) ## Products & Services - **Argon AI Workspace (Core Platform)**: An AI-native workspace that unifies internal company data (from SharePoint, Snowflake, Veeva, etc.) with Argon’s proprietary, continuously updated database of clinical and commercial sources. Teams can build customized AI agents to automate tasks such as end-to-end Primary Market Research, competitive tracking, clinical trial benchmarking, healthcare provider insight analysis, and strategic market landscapes. [cbinsights.com](https://www.cbinsights.com/company/argon-ai) ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total Funding of **$11.6M** raised across multiple rounds (including a $5.5M Seed round in July 2025 and a $5.5M Seed round in June 2024). [linkedin.com](https://www.linkedin.com/company/argon-ai) - **Notable Investors/Partners**: Wireframe Ventures, Crosslink Capital (co-led the latest round), Y Combinator, Pioneer Fund, Orange Collective. [cbinsights.com](https://www.cbinsights.com/company/argon-ai) - **Growth Signals**: - Working with two of the top 15 global pharmaceutical companies and deployed firm-wide at premier life science consulting firms like Basis Health. [cbinsights.com](https://www.cbinsights.com/company/argon-ai) - Headcount grew +120% YoY (from ~4 to 10 employees). [linkedin.com](https://www.linkedin.com/company/argon-ai) - 2,288 LinkedIn followers with +111% yearly growth. [linkedin.com](https://www.linkedin.com/company/argon-ai) - Monthly web traffic of ~5,000 visits, growing +22.4% month-over-month. [linkedin.com](https://www.linkedin.com/company/argon-ai) ## Competitive Advantages - **Deep domain specialization**: Built specifically for life sciences, not a general-purpose AI tool. The platform comes pre-loaded with proprietary secondary data (medical literature, company info, preclinical to commercial assets) and sell-side analyst research from 50+ healthcare banks. [argon-ai.com](https://argon-ai.com/) - **Enterprise integrations**: Connects directly with pharma-standard data sources (Veeva, Snowflake, SharePoint), solving the fragmentation problem that plagues the industry. [cbinsights.com](https://www.cbinsights.com/company/argon-ai) - **Time-to-insight advantage**: Claims to reduce hundreds of hours of manual labor to minutes, as validated by partner testimonials. [cbinsights.com](https://www.cbinsights.com/company/argon-ai) ## Strategic Focus - **Current priorities**: Expanding the team, deepening product capabilities, and scaling adoption across enterprise biopharma. The goal is to save life sciences companies millions in misdirected R&D spending by accelerating decision-making and drug delivery. [cbinsights.com](https://www.cbinsights.com/company/argon-ai) ## Why Work Here - **Culture highlights**: Fast-growing seed-stage startup with a clear mission to impact the cost and speed of bringing drugs to market. Work is directly tied to helping patients access therapies faster. - **Remote/hybrid/office policy**: On-site workspace in Brooklyn, NY (318 Grand Street). Employees work from the physical office. [builtin.com](https://builtin.com/company/argon-ai) - **Notable perks or engineering culture**: Small, high-leverage team (10 people) with a strong technical stack (Python, TypeScript, React, Node.js, PostgreSQL, Redis, Kubernetes). The founding team has backgrounds from top firms and the team includes engineers from NYU Langone Health, Citadel, and Gopuff. [linkedin.com](https://www.linkedin.com/company/argon-ai) ## Sources 1. [argon-ai.com](https://argon-ai.com/) 2. [linkedin.com](https://www.linkedin.com/company/argon-ai) 3. [cbinsights.com](https://www.cbinsights.com/company/argon-ai) 4. [builtin.com](https://builtin.com/company/argon-ai)