Strategic Business Development, Life Sciences

Liquid AI

. Own deals end to end, from identifying and prioritizing pharma, biotech, and research partners through negotiation, close, and delivery, with accountability for revenue .

Posted 10/10/2026full-timeBoston • Massachusetts • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in business development and partnerships within the pharma and biotech sectors, with a strong focus on negotiating complex agreements and driving revenue growth. Possesses deep knowledge of drug discovery, R&D workflows, and the integration of AI/ML technologies into life sciences.

Highest-signal resume keywords

Business DevelopmentPartnership ManagementComplex Agreement NegotiationAI/ML Integration in R&DCross-Functional Team Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Deal StructuringRevenue Sharing AgreementsLicensing AgreementsTechnical Deep-DivesProofs of ConceptBenchmarkingDeployment PlanningCompetitive IntelligenceMarket AnalysisR&D Technology Evaluation

Soft Skills

NetworkingCommunicationRelationship BuildingNegotiationCollaboration

Industry Keywords

PharmaBiotechLife SciencesDrug DiscoveryR&D PartnershipsComputational ScienceData ScienceFoundation ModelsGrowth-Stage CompaniesEarly-Stage Companies

About the role

Key responsibilities & impact

Own deals end to end, from identifying and prioritizing pharma, biotech, and research partners through negotiation, close, and delivery, with accountability for revenue
Source opportunities across drug discovery and life sciences R&D through networking and outreach
Manage and expand existing life sciences partnerships, including work with Insilico Medicine
Negotiate first-of-a-kind agreements combining licensing, revenue sharing, co-development, and roadmap commitments
Lead technical and scientific conversations with heads of AI, computational scientists, and R&D leaders
Work with scientists and engineers on technical deep-dives, proofs of concept, benchmarks, and deployment planning
Bring market objections, competitive intelligence, pricing feedback, and emerging use cases into product, model roadmap, and positioning decisions
Build the life sciences GTM engine, including partner evaluation and qualification, external messaging, infrastructure, and operating cadences

Requirements

What you’ll need

10+ years in business development, partnerships, or corporate development in pharma, biotech, or life sciences technology, with a record of deals that moved revenue
Recent deal experience bringing AI/ML, computational platforms, or data products into pharma and biotech R&D
Deep knowledge of drug discovery and development, and of how pharma and biotech companies evaluate, buy, and partner on R&D technology
High technical and scientific fluency, including understanding foundation models and their translation into R&D workflows
Demonstrated success structuring and personally negotiating complex agreements with senior executives, including R&D collaborations or platform licensing deals and multi-year deals with interlocking terms
Experience leading cross-functional teams across Product, Engineering, Legal, and Finance from agreement structuring through signature and delivery
Relationships with R&D, computational, and data science leaders at pharma and biotech companies
Record of sourcing own opportunities
Experience at an early-stage or growth-stage company where you helped build the motion rather than run an established one

Benefits

Comp & perks

Competitive base salary + variable compensation with equity in a unicorn-stage company
100% of medical, dental, and vision premiums paid for employees and dependents
401(k) matching up to 4% of base pay
Unlimited PTO
Company-wide Refill Days throughout the year