
51 - 200 employees
Founded 2019
🧬 Biotechnology
💊 Pharmaceuticals
🤖 Artificial Intelligence
💰 Series B on 2024-04
Biotechnology • Pharmaceuticals • Artificial Intelligence
Iambic Therapeutics is a pioneering biotechnology company that leverages advanced AI algorithms for drug discovery. Their innovative, high-throughput experimental platform aims to address unmet patient needs by optimizing molecules for various therapeutic targets. The company's AI-driven approach allows it to rapidly explore chemical spaces, revealing novel drug mechanisms and delivering high-quality leads at an accelerated pace compared to traditional methods.
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51 - 200 employees
Founded 2019
🧬 Biotechnology
💊 Pharmaceuticals
🤖 Artificial Intelligence
💰 Series B on 2024-04
Biotechnology • Pharmaceuticals • Artificial Intelligence
Iambic Therapeutics is a pioneering biotechnology company that leverages advanced AI algorithms for drug discovery. Their innovative, high-throughput experimental platform aims to address unmet patient needs by optimizing molecules for various therapeutic targets. The company's AI-driven approach allows it to rapidly explore chemical spaces, revealing novel drug mechanisms and delivering high-quality leads at an accelerated pace compared to traditional methods.
• Serve as the primary alliance manager for AI-enabled drug discovery collaborations and strategic external partnerships. • Build and maintain trusted relationships with pharmaceutical, biotechnology, and technology partners across scientific, operational, and executive levels. • Lead collaboration governance, including Joint Steering Committees (JSCs), scientific working groups, executive reviews, agendas, action tracking, and decision documentation. • Partner with Discovery Machine Learning, Computational Chemistry, Biology, Medicinal Chemistry, Software Engineering, Legal, Business Development, and other cross-functional teams to ensure alignment on collaboration objectives, milestones, and deliverables. • Develop and maintain integrated collaboration plans, including timelines, governance milestones, partner commitments, contractual obligations, budgets, and partnership metrics. • Coordinate cross-functional execution across multiple partnered programs by proactively identifying risks, tracking dependencies, facilitating issue resolution, and ensuring operational excellence. • Translate complex AI, machine learning, computational chemistry, and scientific concepts into clear, actionable updates for external collaborators while ensuring alignment between technical teams and partner objectives. • Develop sufficient technical understanding of Iambic's AI discovery platform and computational workflows to effectively represent collaborative programs, anticipate partner questions, and facilitate productive scientific discussions. • Partner with Legal and Business Development to support collaboration agreements, governance structures, data sharing, publications, and strategic partnership activities. • Prepare executive updates, partnership reports, and presentations while contributing to evaluation and launch of new strategic collaborations. • Help establish and continuously improve alliance management processes, governance standards, and best practices as Iambic's collaboration portfolio grows.
• Bachelor's degree in a scientific discipline, engineering, business, or related field; advanced degree (M.S. or Ph.D.) preferred • 12+ years of experience (Associate Director) or 15+ years (Director) in alliance management, scientific program management, project management, or scientific operations within biotechnology, pharmaceuticals, or AI-driven life sciences. • Experience managing complex scientific collaborations and strategic partnerships. • Understanding of drug discovery, machine learning, or computational research environments. • Exceptional organizational, communication, and stakeholder management skills. • Proven ability to influence across multidisciplinary teams without direct authority. • Experience supporting AI, machine learning, computational biology, computational chemistry, or AI-enabled drug discovery organizations (preferred). • Experience working with pharmaceutical, biotechnology, academic, or technology collaborations (preferred). • Familiarity with collaboration agreements, governance structures, and cross-company research programs (preferred). • Alliance Management (ASAP), PMP, or similar certification (preferred).
• company paid healthcare • flexible spending accounts • voluntary life insurance • 401K matching • uncapped vacation
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