Global Enrollment Systems Lead (AI-Enabled Oncology Trials)

About Massive BioEvery cancer patient deserves access to treatment options. Massive Bio is an AI-powered precision medicine platform transforming how cancer patients discover and access clinical trials by eliminating the barriers of geography, financial constraints, and information asymmetry that have historically limited enrollment.Founded in 2015 and headquartered in the US, Massive Bio is scaling its impact globally by powering operations across multiple countries and bringing innovative cancer treatment options to a rapidly growing and diverse population of patients. Through our proprietary AI platform, we connect individuals to clinical trials worldwide and partner with leading pharmaceutical companies, contract research organizations (CROs), and healthcare systems to accelerate drug development and expand equitable access to cutting-edge therapies.The RoleWe are hiring a Global Enrollment Systems Lead to design and optimize the operational engine that converts AI-matched patients into randomized trial participants at scale.This is not a coordination role.This is a systems architecture and throughput optimization role.You will:Own enrollment velocity end to endMap the full funnel from qualification → site referral → screening → consent → randomizationIdentify bottlenecks and drop-offsReduce cycle timeIncrease throughput without proportional headcount growthBuild scalable playbooks across countriesYou will work across internal teams (AI, clinical operations, customer success) and external stakeholders (sites, sponsors, CROs, networks) to eliminate friction and maximize conversion.This is a high-autonomy role with direct exposure to leadership and co-founders. As volume scales, you will build and lead a team to expand operational capacity.What You’ll Actually DoThink like an industrial engineer inside one of the most complex operational systems in healthcare.You will:Map and continuously refine the enrollment value streamBuild dashboards tracking funnel performance at each stageAnalyze conversion drop-offs and variance by country, site, and trialModel capacity constraints and identify system bottlenecksReduce match-to-randomization cycle timeStandardize scalable enrollment playbooks across regionsAlign AI outputs with real-world operational executionImprove screen failure rates through structured pre-qualification systemsIncrease enrollment throughput per FTECreate operational leverage as we growThis is a live, multi-country, multi-stakeholder system — not a theoretical exercise.Success Metrics (You Own These)You will be accountable for measurable impact:% reduction in match-to-randomization cycle timeImprovement in qualification-to-screening conversionReduction in screen failuresIncrease in enrollment throughput per trialCapacity scaling without linear headcount growthCountry-level velocity optimizationFunnel transparency through performance dashboardsEnrollment speed is the product. You own it.Who This Role Is ForThis role is ideal for someone who:Thinks in systems, bottlenecks, and throughputHas led end-to-end operational pipelines in high-growth environmentsLoves reducing friction and optimizing complexityBuilds dashboards and makes decisions based on dataIs comfortable operating with ambiguity and building new functionsThrives in startup environments without bureaucracyWants ownership, not supervisionYou might come from:Industrial engineeringOperations in logistics or supply chainHigh-growth tech startupsHealthcare servicesConsulting (operations focus)Private equity portfolio operationsClinical trials operations with a strong systems mindsetRequired Experience5–8 years leading operational delivery in complex, multi-stakeholder environmentsDemonstrated ownership of a conversion funnel or delivery pipeline end to endExperience improving throughput and reducing cycle time systematicallyTrack record of scaling an operational function without linear headcount growthStrong analytical capability (Excel, dashboards, data modeling, PowerPoint)Structured project management discipline across multiple parallel workstreamsHigh energy and resilience in fast-moving startup environmentsStrongly PreferredHealthcare, life sciences, or clinical trials experienceOncology knowledge (biomarker testing, treatment sequencing)Experience working with AI-enabled platformsFamiliarity with patient recruitment vendors or CRO operationsPMP or similar structured project management trainingWhy This Role Is DifferentYou are not inheriting a mature, slow-moving department.You are building the enrollment operating system for a global AI-enabled oncology platform.Every week of cycle time reduction accelerates access to life-saving therapies.Within 12–18 months, this role is expected to evolve into a broader operational leadership position as you build and lead your own team.If you get energy from turning complexity into scalable systems — and want your optimization work to directly impact cancer patients worldwide — this is your arena.Powered by JazzHRNGbOFrIhJq