Key Responsibilities:

1. Laboratory & Environmental Monitoring

• Assist with the preparation, execution, and documentation of environmental lab experiments (e.g., water/soil/air testing).

• Collect, label, and store environmental samples in accordance with safety and regulatory protocols.

• Operate and maintain lab equipment and environmental monitoring instruments (e.g., spectrometers, gas analyzers, IoT sensors).

2. Data Science & AI Integration

• Preprocess and analyze lab-generated data using Python, R, or relevant data tools.

• Collaborate with data scientists to implement AI/ML models that forecast environmental patterns or detect anomalies.

• Manage environmental data pipelines and assist in building dashboards for real-time monitoring and reporting.

3. Cybersecurity & Data Integrity

• Monitor and secure lab devices and data systems, particularly those connected to external networks or cloud environments.

• Implement cybersecurity practices such as data encryption, user access control, and incident response protocols.

• Conduct regular audits to ensure compliance with data privacy laws (e.g., GDPR, EPA data regulations).

Required Qualifications:

• Associate or Bachelor’s degree in Environmental Science, Computer Science, Cybersecurity, or a related field.

• Experience in a lab setting with a basic understanding of environmental testing protocols.

• Proficiency in Python, SQL, or R for data processing and analysis.

• Knowledge of AI/ML concepts and experience using AI tools or platforms.

• Understanding of cybersecurity principles, including data protection, network security, and risk assessment.

Preferred Qualifications:

• Certifications such as CompTIA Security+, GIAC, or Certified Lab Technician.

• Familiarity with cloud platforms (AWS, Azure) used for environmental data storage.

• Experience working with IoT or smart sensor technology for environmental monitoring.

Soft Skills:

• Strong attention to detail and analytical mindset.

• Ability to communicate technical findings to interdisciplinary teams.

• Willingness to learn and adapt to emerging technologies in environmental science and cybersecurity.

Work Environment:

• Work is performed in both laboratory and office settings.

• May involve exposure to environmental samples and chemical substances.

• Hybrid or on-site work depending on organizational needs.

Potential Employers:

• Environmental research labs

• Government agencies (e.g., EPA, NOAA)

• Environmental tech startups

• Universities and academic research institutions

• Utility and energy companies