Head of Data, AI & Cloud Platforms — Remote

Scorpion Therapeutics

Durham (NC)

Ibrido

USD 150.000 - 200.000

Tempo pieno

14 giorni+
Generatore di candidature

Non inviare un curriculum generico — genera un curriculum e una lettera di presentazione personalizzati per questo specifico impiego.

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Descrizione del lavoro

Terrana Biosciences is seeking a senior leader to design and execute company-wide data, IT, software, and ML/AI capabilities to support agricultural biotech objectives.

You will lead 3-5 team members, manage external vendors, drive data governance, cloud architecture, and production deployment of ML/AI models while engaging executives on strategy and risk. This role requires strong stakeholder communication and a proven track record delivering scalable data platforms.

Competenze

  • Bachelor's in computer science, bioinformatics, or related field.
  • 10+ years in data engineering, software, or IT with leadership.
  • Strong cloud experience (AWS preferred), data modeling, pipelines, APIs, and ML/AI deployment.
  • Knowledge of enterprise IT operations, cybersecurity, and scientific workflows.
  • Excellent stakeholder management and communication skills.

Mansioni

  • Direct 3-5 team members and coordinate external vendors.
  • Establish data governance, FAIR data practices, and resilient cloud data architecture.
  • Oversee deployment of software and ML/AI models into production workflows.
  • Manage IT services including cybersecurity and vendor relationships.
  • Serve as senior leader engaging with executive stakeholders on strategy, progress, and risks.

Conoscenze

Data engineering
Software leadership
IT leadership
Cloud computing
ML deployment
Stakeholder management
Communication

Formazione

Bachelor's in CS/Bioinformatics

Strumenti

Benchling LIMS
AI-native tools
Workflow automation

Descrizione del lavoro

Terrana Biosciences is seeking a senior leader to design and execute company-wide data, IT, software, and ML/AI capabilities to support agricultural biotech objectives.

You will lead 3-5 team members, manage external vendors, drive data governance, cloud architecture, and production deployment of ML/AI models while engaging executives on strategy and risk. This role requires strong stakeholder communication and a proven track record delivering scalable data platforms.

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