Quantitative Ecologist (Location of work will be negotiable)

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Agency

U.S. Geological Survey

Location

Location of work will be negotiable

Job Category

Temporary/Seasonal Positions

Salary

$28.23 – 41.95/hour DOE, Education, location

Start Date

07/01/2022

Last Date to Apply

06/15/2022

Website

https://www.usgs.gov/centers/werc

Description

This work is with the US Geological Survey, Western Ecological Research Center. The student contractor will lead the analysis of biological data and development of manuscript(s) intended for publication for at least 1 project and assist with data analysis and manuscript development for 1 or more additional projects funded primarily by state and federal partners (e.g., Nevada Dept. of Wildlife, Bureau of Land Management, US Forest Service, US Fish and Wildlife Service). Tasks will include, but are not limited to, interpreting and preparing large datasets for statistical analysis (i.e., data engineering), developing statistical models to investigate key project questions and address project objectives, summarizing and visualizing results for inclusion in project deliverables and presentations, and writing manuscripts for submission to applied science journals. This is intended to be a full-time position. To qualify for student service contracting, the candidate must have completed a degree less than 12 months prior to start date. Duration Temporary Appointment, up to 2 years Description of Working Conditions Work will take place primarily in an office setting. This involves long hours in front of a computer. Applicant must be prepared to work remotely from a home office when circumstances require it. Applicant may have an opportunity or be asked to perform work in the field, which would involve exposure to extreme temperature and weather conditions, including long hours standing, bending, walking, and performing tasks that require physical exertion. The incumbent may be required to lift containers weighing up to 35 pounds in the performance of the assignment. Hours can include all times of day and incumbent will be expected to work 40 hours/week. Special Terms For all legal purposes, student is regarded as an independent contractor. Payments for services are reportable and taxable as earned income. No Federal, State, or Local income taxes will be deducted. No social security or medicare taxes will be deducted. Student is responsible for payment of all taxes as a result of income received under this order. The U.S. Geological Survey (USGS) will report the total amount paid under this order to the Internal Revenue Service on a Standard form 1099. The student is not considered an employee and will not receive a W-2 form. For payment, student must have a checking or savings account at a financial institution that will accept direct deposits of Federal funds. Selected candidate will be required to submit fingerprints for the purpose of an FBI criminal history record check. Student will also need to successfully complete Federal Information Systems Security Awareness + Privacy & Records Management training and comply with the USGS Computer and Network Security Handbook. First Aid/CPR is required and training will be provided by the USGS.

Qualifications

Minimum Qualifications - 1 year of experience collecting biological data in remote, difficult working environments - 2 years of experience using statistical modeling and/or programming languages, such as R, Python, or SAS - Completion of graduate degree in a natural resources, wildlife biology, environmental science, or biometrics field. Degree must have been completed less than 12 months prior to starting this position. - 1 year of experience using ArcGIS and/or ArcGIS Pro - At least 5 courses completed in mathematics, statistics, and/or data science - Experience using Bayesian statistical modeling - Experience writing and publishing peer reviewed scientific literature in applied science journals Desired Qualifications (but not required, in addition to Minimum) - Completion of MSc and >2 years of post-graduate study in pursuit of PhD, OR completion of PhD, in a natural resources, wildlife biology, environmental science, or biometrics field - Minor or certification in a field related to mathematics, statistics, GIScience, or data science - Multiple years of experience using ArcGIS, ArcGIS Pro, QGIS, and/or other software programs designed to work with spatial data - Experience writing code to fit hierarchical models using Bayesian methods or programming language (e.g., JAGS, BUGS, Stan, NIMBLE, and/or other MCMC samplers in R) - Experience working with large and complex time series data - Experience fitting spatial models - Experience presenting scientific research to technical and non-technical audiences in professional settings - Author of at least 2 publications in applied science journals

Contact Person

Dr. Shawn O’Neil

Contact eMail

[email protected]

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