Environmental Data Validation Chemist

• 7+ years of experience in environmental chemistry
• Have sufficient technical expertise and knowledge to make scientifically defensible decisions with respect to data usability.
• Communicate and discuss custom reporting requirements with data analysts to generate project-specific tables.
• Strong communication skills, with the ability to interact professionally with internal team members, cross-departmental colleagues, and clients.
• Solid environmental laboratory experience including familiarity with analytical methods.

• Assist in the preparation and revision of Quality Assurance Project Plans (QAPPs), with a focus on analytical methods and data review procedures.
• Demonstrated expertise in multiple levels of data review and validation. While a strong foundation is expected, training will be provided for any methods or matrices with which the candidate is not yet familiar.
• Able to communicate technical scenarios and implications to multiple parties (contractors, laboratories, data analysts, consultants) resulting in resolutions.
• Be knowledgeable in federal, state, or local agency data validation guidelines (such as US EPA National Functional Guidelines)
• Familiarity with EQuIS DQM
• Assist in preparing data validation SOPs for internal use.
• Support the drafting of white papers explaining technical subjects of potential interest to existing and potential clients and colleagues.
• Contribute to the development of automation tools and demonstrate a willingness to incorporate existing ddms automation solutions into daily workflows.

• Further self-learning and guidance from others, while providing guidance to advance the competencies of the entire department.
• Contribute towards building and continually improving ddms’ technical training programs. ddms training should emphasis accuracy, technical validity, standardization, and error reduction.
• Leverage technology to identify, communicate, and help eliminate inefficiencies in workflows, contributing to continuous improvement across projects.

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