Consultant, Environmental Data Quality Scientist (Mid-Level)

Portland, Oregon

ERM

ERM is the largest global pure play sustainability consultancy, partnering with the world’s leading organizations to create innovative solutions to sustainability challenges and unlock commercial opportunities that meet the needs of today while...

View all jobs at ERM

Apply now Apply later


ERM is seeking an Consultant, Environmental Data Quality Scientist in Portland, Oregon or Seattle, Washington. The ideal candidate will be self-motivated, detail-oriented, and interested in a career focused on laboratory analytical data quality. As part of our team, you will work on large environmental projects across North America, and support ERM’s projects worldwide.  ERM offers a competitive salary and the potential for growth and development in this data quality role.

RESPONSIBILITIES:

  • Perform environmental data verification and validation in accordance with national, regional, and/or project specific guidelines.

  • Coordinate with ERM/client contracted laboratories to ensure that project data quality objectives are being met.

  • Interact and maintain successful relationships with clients, ERM employees, and subcontractors.

  • Perform and manage multiple tasks within scope/budget/schedule expectations and ensure quality standards on project deliverables.

  • Work with ERM’s various Technical Communities to develop innovative data services and automated workflows.

REQUIREMENTS:

  • Bachelor’s degree in chemistry, environmental science, toxicology or related field.

  • 2+ years of relevant experience. 

  • Prior experience working in analytical laboratory and/or performing data validation.

  • Knowledge of various analytical methods related to environmental sampling.

  • Strong organizational and communication skills.

  • Comfortable working at a desk performing computer-based tasks.

  • Intermediate knowledge of Microsoft Office suite including Excel and Work.

PREFERRED BUT NOT REQUIRED:

  • 3+ years of previous work experience in environmental data quality with strong analytical skills.

  • Experience performing environmental data validation and/or data quality reviews in accordance with USEPA National Functional Guidelines (NFGs) and/or other regional data review guidance (TRRP, NYSDEC DUSR, ADEC, etc.).

  • Experience with sample preparation and analysis and use of various analytical laboratory instruments (GC/MS, GC, ICP, LC, etc.).

  • Experience with environmental field sample collection procedures.

  • Experience with EarthSoft’s EQuIS™ software.

For the Consultant, Environmental Data Quality Scientist position, we anticipate the annual base pay of $70,000 – $81,813 USD.  An employee’s pay position within this range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, and business or organizational needs.  We also may have instances where compensation may be outside of the range, based on the factors noted above.  This job is also eligible for an annual discretionary based performance bonus.

We offer a comprehensive package of benefits including paid time off, paid parental leave, medical, dental, vision, life, disability and AD&D insurance, 401(k) or RRSP/DPSP, and any other benefits to eligible employees as applicable.

You can apply for this role through https://www.erm.com/careers/apply/ or through the internal careers portal if you are a current employee.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

Who We Are:

As the largest global pure play sustainability consultancy, we partner with the world’s leading organizations, creating innovative solutions to sustainability challenges and unlocking commercial opportunities that meet the needs of today while preserving opportunity for future generations.

At ERM we know that creating a diverse, equitable and inclusive work environment is an essential part of making our company a great place to build a career. We also see our diversity as a strength that helps us create better solutions for our clients. Our diverse team of world-class experts supports clients across the breadth of their organizations to operationalize sustainability, underpinned by our deep technical expertise in addressing their environmental, health, safety, risk and social issues. We call this capability our “boots to boardroom” approach for its comprehensive service model that allows ERM to develop strategic and technical solutions that advance objectives on the ground or at the executive level.

Please submit your resume and brief cover letter. Based on review of these responses, shortlisted candidates will be invited for interviews.

ERM does not accept recruiting agency resumes. Please do not forward resumes to our jobs alias, ERM employees or any other company location. ERM is not responsible for any fees related to unsolicited resumes.

ERM is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. 

Thank you for your interest in ERM!

Apply now Apply later
  • Share this job via
  • or
Job stats:  1  0  0

Tags: Chemistry Data quality Excel

Perks/benefits: Career development Competitive pay Health care Insurance Medical leave Parental leave Salary bonus Travel

Region: North America
Country: United States

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.