Agentic AI Engineer - Autonomous Biological Discovery ...

Agentic AI Engineer - Autonomous Biological Discovery SystemsPosition OverviewWe are seeking a visionary Agentic AI Engineer to architect and implement autonomous AI systems that will revolutionize transcriptome analysis and precision medicine. This role goes beyond traditional AI development to create systems that can independently reason, plan, and execute complex biological research workflows. You will build the cognitive architecture that transforms our AI from a tool into an intelligent collaborator capable of formulating hypotheses, designing experiments, and discovering novel biological insights with minimal human intervention.Key ResponsibilitiesAgentic System ArchitectureDesign and implement multi-agent systems for autonomous transcriptome analysisDevelop agentic workflows that can dynamically select analysis methods based on data characteristicsCreate autonomous decision-making frameworks for quality control and sample processingBuild self-improving systems that learn from experimental outcomesImplement feedback loops enabling continuous workflow optimizationReasoning & Planning SystemsDevelop causal reasoning engines for biological hypothesis generationImplement Monte Carlo Tree Search and similar algorithms for experimental planningCreate counterfactual reasoning capabilities for testing gene function hypothesesBuild temporal reasoning systems for understanding gene expression dynamicsDesign explanation generation systems for autonomous decision documentationAutonomous Workflow DevelopmentCreate agents that can autonomously navigate from raw sequencing data to biological insightsImplement dynamic pipeline selection based on data quality and research objectivesDevelop agents capable of identifying and resolving batch effects without human interventionBuild systems that can autonomously formulate follow-up experimentsDesign collaborative multi-agent architectures for complex biological problemsKnowledge Integration & LearningImplement continuous learning systems that update from new scientific literatureCreate knowledge graphs that agents can query and update autonomouslyDevelop mechanisms for resolving contradictions between different data sourcesBuild systems for autonomous validation of biological findingsDesign meta-learning frameworks for improving agent performance over timeRequired QualificationsTechnical ExpertiseMS/PhD in Computer Science, AI, Robotics, or related field3+ years of experience in autonomous systems or multi-agent AIExpert proficiency in Python with focus on agent frameworks (LangChain, AutoGPT, AgentGPT)Strong background in reinforcement learning and planning algorithmsExperience with causal inference and probabilistic reasoningProven track record in building production autonomous systemsAI/ML SkillsDeep understanding of agentic AI architectures and design patternsExperience with LLM orchestration and tool useKnowledge of symbolic reasoning and knowledge representationFamiliarity with neurosymbolic AI approachesExperience with distributed agent systemsSystems ThinkingAbility to design complex, self-organizing systemsExperience with workflow orchestration and automationUnderstanding of feedback control systemsKnowledge of system reliability and fault tolerancePreferred QualificationsExperience with biological or medical AI applicationsKnowledge of bioinformatics workflows and pipelinesFamiliarity with laboratory automation systemsUnderstanding of clinical trial design and executionPublications in autonomous AI or multi-agent systemsExperience with robotic process automationBackground in cognitive architecturesKey Performance MetricsDeploy autonomous agents achieving 90%+ accuracy in analysis decisionsReduce human intervention in standard workflows by 80%Enable autonomous hypothesis generation with 70%+ validation rateAchieve 99.9% reliability in production autonomous systemsSuccessfully orchestrate 100+ concurrent agent workflowsIntegration ResponsibilitiesCross-Team CollaborationPartner with LLM Engineers to integrate reasoning capabilities into autonomous agentsWork with Software Engineers to build scalable agent execution platformsCollaborate with Bioinformaticians to encode domain expertise into agent behaviorsInterface with Clinical teams to ensure agent decisions meet regulatory standardsPlatform IntegrationDesign APIs for human-agent collaboration interfacesCreate monitoring dashboards for autonomous system oversightImplement audit trails for all autonomous decisionsBuild simulation environments for agent testing and validationWhat We OfferOpportunity to pioneer autonomous AI in life sciencesWork on systems with direct impact on drug discovery and patient careCollaboration with world-class AI researchers and biologistsCompetitive salary ($190,000 - $300,000) based on experienceComprehensive benefits package with equity participationDedicated budget for AI research and experimentationConference attendance and publication supportRemote-first culture with quarterly team gatheringsThe Transformative OpportunityThis role offers the chance to build AI systems that function as true scientific collaborators, not just tools. Your work will enable:Autonomous discovery of novel therapeutic targetsSelf-directed exploration of biological mechanismsIntelligent systems that can reason about causality in biologyAI agents that can design and interpret their own experimentsApplication RequirementsPlease submit:Resume/CV highlighting autonomous systems projectsPortfolio demonstrating multi-agent or autonomous AI workTechnical writing sample or system architecture documentBrief proposal for an autonomous biological discovery systemOptional: Demo of an autonomous agent you've builtContact: careers@

Created: 2025-10-02