Western EcoSystems Technology, Inc. (WEST), a dynamic medium size, employee-owned consulting firm with offices across the United States and Canada, has an exciting and immediate opportunity for an Associate Statistician (full-time, regular).

WEST has a permanent core of professionals with broad experience in basic and applied ecological studies and the sophisticated analysis of natural resource data. Since its founding in 1990, the WEST team has shaped the foundation of what we do, and what we believe in through our core values and key principles. Our work matters to our clients, communities, and the environment. Join WEST and discover a company of passionate, committed, and highly motivated individuals.

Please click here to see what benefits WEST offers!

The minimum base salary for this position is $62,000 and the maximum salary is $77,000, plus additional annual profit-sharing bonus potential. Salary may vary based on education, knowledge, and experience.

Job Summary:

The successful candidate must be a self-starter who enjoys research, learning new analytical techniques to solve challenging problems, and communicating and interacting with people (both co-workers and clients). Additionally, the successful candidate should provide technical solutions and advise co-workers and clients on complex statistical analyses.

Responsibilities include:

• Develop and apply statistical methods, program analyses primarily in R, and interpret and present results at meetings and in reports for clients and manuscripts for publication.
• Participate in developing project budgets and proposals.
• Provide critical review of analyses and reports and advise other statisticians on various projects.
• Develop and maintain positive relationships with coworkers, clients, and stakeholders.

This is a general description of the functions for this position and is not inclusive of all the duties which may be associated with this position.

In order for your application to be considered, please attach your resume/CV, cover letter, and a sample R script or link to a GitHub repository with your application. The R script does not need to include the associated data but should be representative of your abilities. 

Minimum Qualifications:

• MS in statistics.
• 4 or more years of experience as an applied statistician in ecology, fisheries, or wildlife research.
• Relevant experience in statistical consulting.
• Proficient in statistical programming and advanced data manipulation in R.
• Experience with some or all of the follow analysis methods: generalized linear modeling, bootstrapping and simulation, spatial analysis, Bayesian hierarchical modeling, and survival analysis.
• Excellent time management and organizational skills with the ability to work well under time constraints and meet deliverable targets and deadlines.
• Ability to write proposals, manage deadlines, and collaborate with others.
• Excellent written and oral communication skills.
• Experience with relational database systems and data manipulation.
• Experience with data management and geographical information systems (ArcGIS, QGIS, etc.).
• Ability to effectively use Microsoft Office applications, including MS Access.

Physical Requirements:

• Sitting for long periods of time

After an offer of employment is made, the candidate must successfully pass a pre- employment background check, drug screening, and a DMV records check that meets WEST’s minimum criteria to operate a motor vehicle on behalf of the company. A valid driver’s license will be required.

WEST provides equal employment opportunities to all individuals regardless of their race, color, religion, gender identity or expression, age, sex, sexual orientation, national origin, disability status, genetics, and any protected veteran status, and any other characteristic protected by federal, state or local law. Further, WEST takes affirmative action to ensure that all individuals are treated fairly, and without discrimination, for recruitment, selection, advancement and every other term and privilege associated with employment.