Senior Lab Automation & IoT Engineer

Talent Software Services, Inc.

  • San Francisco, CA
  • 3 days ago
  • $98.48 Per Hour

Highlights

Knowledge of specialized laboratory ventilation requirements, including: Air Changes per Hour (ACH). Experience integrating IoT devices and sensors with enterprise platforms.

Numbers & Facts

LocationSan Francisco, CA
Salary$98.48 Per Hour

Description

Role Details

  • Location: San Francisco, CA
  • Duration: 6 months
  • GBaMS ReqID: 10923507
  • Experience Required: 6–8 years
  • Primary Skill: Laboratory Information Management System (LIMS)

Qualifications & Skills

Education

  • Bachelor’s or Master’s degree in:
    • Computer Science
    • Electrical/Systems Engineering
    • Mechanical Engineering
    • Related field

Lab / Critical Facilities Expertise

  • 6+ years of experience designing lab automation solutions for research environments.
  • Experience working in:
    • R&D laboratories
    • Life sciences facilities
    • Pharmaceutical facilities
    • Cleanrooms
  • Strong understanding of laboratory automation and critical facility environments.

IoT & Protocols

  • Deep practical experience with:
    • IoT edge gateways
    • Time-series data management
    • Industrial protocol converters
    • High-frequency sensor ingestion
  • Experience integrating IoT devices and sensors with enterprise platforms.

AI & Data Pipelines

  • Hands-on experience deploying AI/ML models on time-series telemetry.
  • Experience developing predictive analytics for critical laboratory equipment.
  • Experience building and managing data pipelines for sensor and equipment telemetry.

Enterprise Integrations

  • Experience integrating enterprise systems with smart building platforms.
  • Experience working with:
    • CMMS
    • ERP
    • EDMS
    • Smart building platforms
  • Understanding of data integration and interoperability between facility and enterprise systems.

Programming & Cloud

  • Proficiency in one or more programming languages:
    • Python
    • C
    • C++
    • Node.js
    • Go
  • Strong experience with cloud platforms, including:
    • AWS IoT Core
    • Azure IoT Hub
    • Google Cloud

Lab EHS & Facility Knowledge

  • Strong understanding of Lab EHS standards.
  • Knowledge of specialized laboratory ventilation requirements, including:
    • Air Changes per Hour (ACH)
    • Differential pressure
  • Understanding of containment protocols.
  • Experience working with critical laboratory environments and facility controls.

Security & Networking

  • Strong understanding of Operations/IT security convergence.
  • Experience with:
    • Network isolation
    • VLANs
    • Purdue Model
    • Zero Trust
  • Understanding of secure IoT and operational technology environments.

Collaboration & Communication

  • Proven ability to collaborate with:
    • Scientific researchers
    • Facility engineers
    • Enterprise IT directors
    • Hardware vendors
  • Strong communication and stakeholder management skills.
  • Ability to translate technical requirements between scientific, engineering, IT, and vendor teams.

Preferred Qualifications

  • Experience developing digital tools for research facilities.
  • Experience with equipment asset management solutions.
  • Experience with:
    • Digital Twins
    • Advanced analytics
    • Smart laboratory technologies
  • Certifications preferred:
    • AWS Cloud Architecture
    • Azure Cloud Architecture
    • Certified IoT Professional
    • TOGAF

Key Technical Keywords

  • LIMS
  • Laboratory Information Management System
  • Lab Automation
  • Critical Facilities
  • Research Laboratories
  • Life Sciences
  • Pharmaceutical
  • Cleanroom
  • IoT
  • IoT Edge Gateways
  • Industrial Protocols
  • Protocol Converters
  • Time-Series Data
  • Sensor Ingestion
  • AI/ML
  • Predictive Analytics
  • CMMS
  • ERP
  • EDMS
  • Smart Buildings
  • AWS IoT Core
  • Azure IoT Hub
  • Google Cloud
  • Python
  • C/C++
  • Node.js
  • Go
  • Lab EHS
  • ACH
  • Differential Pressure
  • VLAN
  • Purdue Model
  • Zero Trust
  • Digital Twins
  • Equipment Asset Management
  • Advanced Analytics

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