Associate Director/Director, Alliance Management – AI Discovery

Iambic Therapeutics

Associate Director/Director of Alliance Management focused on AI discovery collaborations. Overseeing strategic partnerships and cross-functional teams at Iambic Therapeutics.

Posted 7/22/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $155,000 - $240,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in alliance management and strategic partnership development within the biotechnology and pharmaceutical sectors, with a strong focus on AI-enabled drug discovery and collaboration governance. Capable of translating complex scientific concepts into actionable insights while ensuring alignment across multidisciplinary teams.

Highest-signal resume keywords

Alliance ManagementProject ManagementDrug DiscoveryMachine LearningStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Scientific Program ManagementComputational BiologyComputational ChemistryAI-Enabled Drug DiscoveryCollaboration GovernanceRisk IdentificationAction TrackingContractual ObligationsPartnership MetricsCross-Functional Execution

Soft Skills

Organizational SkillsCommunication SkillsInfluencing SkillsProblem-Solving SkillsRelationship Building

Tools & Technologies

Iambic's AI Discovery PlatformCollaboration AgreementsGovernance Structures

Certifications & Qualifications

Alliance Management (ASAP)PMP

Industry Keywords

BiotechnologyPharmaceuticalsAI-Driven Life SciencesStrategic PartnershipsCross-Company Research Programs

Tech Stack

Tools & technologies

PMP

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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).

Benefits

Comp & perks

company paid healthcare
flexible spending accounts
voluntary life insurance
401K matching
uncapped vacation