Environmental Statistician

Wood is seeking a Scientist with a Statistics background to join our growing Environmental team and support environmental investigation, remediation, and restoration projects. This position provides the opportunity for the qualified candidate to work on high profile projects in office or remotely.

Key responsibilities:

• Prepare sample designs, conduct data analysis and interpretation, and power analyses of environmental data for multi-disciplined project teams
• Communicate statistical evaluations and results with the project team, client, and/or regulatory agencies (EPA and state agencies). Typical projects will be performed under CERCLA (Superfund) or RCRA administrative orders and/or guidance
• Develop sampling designs with input from the project team and communication of the sampling design strategy to our clients and the regulators and other stakeholders
• Compile, analyze, and summarize environmental data, using modern methods for data management and data analytics. Compilation and preparation of datasets will be in collaboration with database managers using EQuIS or other database software
• Work and travel safely, follow company and site safety standards, learn and practice company codes for ethics and business conduct
• Grow as a consultant, demonstrating ability to manage multiple projects at one time while building successful client relationships

• Minimum of B.S. in statistics, mathematics, or a science or engineering field
• Well-versed in R, MATLAB, or other similar statistical software, familiarity with USEPA’s ProUCL and/or PNNL’s Visual Sample Plan
• At least 5 years of experience with non-normally distributed data and statistical analyses including regressions, t-tests, non-parametric tests, power analyses, multivariate and/or ordination techniques
• Experience in investigations and/or remediation of sediment, surface water, biotic tissue, air, groundwater, and/or other related topics
• Statistical analysis of chemicals/wastes (e.g., mercury, pesticides, PCBs, chlorinated organics, LNAPL/DNAPL organics, coal ash, PFAS) and environmental media (e.g., sediment, fish, groundwater, soil, surface water)
• Strong skills in technical writing, presentations, and communications
• Attention to detail, organization abilities and strong time-management capabilities required
• Geospatial statistical skills (e.g., kriging, interpolations, geostatistical simulation) a plus
• Experience with Bayesian statistics a plus
• Experience with censored datasets a plus
• Master’s degree or PhD a plus
• Must pass drug test, physical, background check, and must have a satisfactory driving record in accordance with the Wood's driving policy

Remote work options available.

Wood is a global leader in engineering and consultancy across energy and the built environment, helping to unlock solutions to some of the world’s most critical challenges. We provide consulting, projects and operations solutions in more than 60 countries, employing around 40,000 people.

We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.