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Head of Applied AI

Posted about 17 hours agoViewed

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💎 Seniority level: Executive, 15+ years

📍 Location: United States

🔍 Industry: Life Sciences

🏢 Company: TetraScience👥 101-250💰 $80,000,000 Series B almost 4 years agoPharmaceuticalBiotechnologyData ManagementInternet of ThingsLife ScienceData IntegrationSoftware

⏳ Experience: 15+ years

🪄 Skills: AWSBackend DevelopmentLeadershipProject ManagementPythonSQLArtificial IntelligenceCloud ComputingMachine LearningProduct ManagementPyTorchSoftware ArchitectureCross-functional Team LeadershipData engineeringData scienceTensorflowCommunication SkillsRESTful APIsMicroservicesStrategic thinkingData modeling

Requirements:
  • 15+ years of hands on experience in building data engineering platform, and AI/ML solutions, with a substantial portion in life sciences
  • Proven ability to define and drive AI strategy within a life sciences organization
  • Proven track record of deploying AI models and Use cases in production, addressing real-world biological and other life science problems
  • Deep understanding of life sciences domains such as: Drug development pipelines, Assay / test method development areas such as HTS, DMPK etc., Regulatory and compliance framework
  • Experience in managing AI initiatives from concept to deployment
  • Proven track-record of success developing product strategy within a start-up environment
  • Strong knowledge of machine learning (ML) and artificial intelligence (AI) methods, including: Deep Learning (DL), Reinforcement Learning (RL), Natural Language Processing (NLP), Computational biology and statistical modeling
  • Proficiency in programming languages and tools such as Python, R, TensorFlow, PyTorch etc.
  • Significant experience with AWS, Services-Architecture and web-scale design patterns
  • Excellent communication skills to convey complex technical concepts to non-technical stakeholders
  • Experience in collaborating with external partners and customers
  • Ability to advocate and evangelize for AI initiatives internally and externally
Responsibilities:
  • Own, define, and execute the technical and product vision for Applied AI solutions
  • Support and advise executive leadership regarding technical and commercial feasibility
  • Identify business opportunities and develop AI-driven solutions
  • Understand the commercial impact of AI in life sciences (e.g., improving R&D efficiency, reducing costs, accelerating time-to-market)
  • Provide key inputs into technology evaluation and technology planning activities
  • Provide thought leadership and represent TetraScience at industry and technology conferences
  • Collaborate with the customers and productize solutions
  • Collaborate with cross functional teams to build and evangelize the solutions
  • Provide hands on technical leadership for the SAIL (Scientific AI Leadership) team
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