LTE Wildlife Research Analyst (Madison)

We are dedicated to working with Wisconsinites while preserving and enhancing the natural resources of Wisconsin. In partnership with individuals and organizations; DNR staff manage fish, wildlife, forests, parks, air and water resources while promoting a healthy, sustainable environment and a full range of outdoor opportunities.The Wisconsin DNR is hiring an LTE (Limited Term Employee) – Wildlife Research Analyst, in Madison, WI.This recruitment may be used to fill future similar vacancies.To see all opportunities currently available at DNR, follow this link:DNR (wisc.jobs).Position SummaryThe Office of Applied Science within the Wisconsin Department of Natural Resources (DNR) is hiring a Wildlife Research Analyst to join the Snapshot Wisconsin Decision Support Research Program. This program uses the 100+ million trail camera photos collected by the Snapshot Wisconsin program to conduct applied research and develop annual products that support wildlife decision making. The position will support applied research and development of population metrics from Snapshot Wisconsin trail camera data to inform management of deer, turkeys, and other Wisconsin wildlife species. This person will process and analyze Snapshot Wisconsin detection data working towards finalizing years of data. This person is expected to write custom SQL queries, write and annotate R code, fill data requests, and implement automated processing of research products whenever possible. This person will be responsible for conducting data-based research projects, running statistical analyses and models, and assessing model results. The position will be based out of Madison, WI.40% Processing, documenting and finalizing trail camera detection dataPull and process Snapshot Wisconsin trail camera data from an Oracle database and using custom SQL queries and R functionsFill data requests that come in from volunteers, students, researchers, and DNR employeesContribute to user acceptance testing of Oracle database changes that fix bugs or add featuresContribute to custom R packages for data analysis, especially adding documentation and new functionsAssess data quality and identify inconsistencies in data that require further assessmentIdentify and implement solutions to finalize annual Snapshot Wisconsin datasets30% Statistical analysis and model developmentAssess patterns in data to separate noise (e.g., sampling issues, classification differences, detection differences) from abundance trendsAnalyze trail camera data using a range of statistics and models that include covariatesAnalyze trail camera data using models that include covariates and assess model fit and predictionsVisualize statistics and model predictions spatially and temporally20% Automation development for annual wildlife research productsCritique existing workflows to identify steps that could be improved with automationDevelop and implement new procedures that increase automation and reduce manual processingFully document processes to improve usability annually and for similar applications10% Other duties as assignedSalary InformationThis position pays $27.68 per hour and is in the Research Analyst Senior classification in pay schedule and range 08-03. Compensation will be set in accordance with the State Compensation Plan.Job DetailsThis is a Limited Term Employment (LTE) position and will not automatically lead to permanent state employment or be entitled to the same benefits as permanent employees.More about LTE positions:Offer a great opportunity to gain experience and learn about careers at the WI Department of Natural Resources.Provide opportunities for individuals to enhance their resumes with skills learned on the job.May accommodate flexibility for part-time or full-time work hours and seasonal schedules. Work schedules are dependent on business needs.Allow individuals to hold multiple LTE appointments concurrently. If both LTE positions are at the same agency, the positions must be bona fide different positions. Each individual LTE position allows for maximum of 1039 hours in a twelve-month period.Special Requirements:Background Checks: The Department of Natural Resources conducts criminal background checks on final applicants prior to a job offer. Please note that a criminal charge or conviction on your record will not necessarily disqualify you from state employment. In compliance with the Wisconsin Fair Employment Act, the DNR does not discriminate on the basis of arrest or conviction record.Eligible to work in U.S.: Applicants must be legally authorized to work in the United States at the time of hire. The Department of Natural Resources does not sponsor work visas at the time of hire or anytime during employment. All persons hired will be required to verify identity and eligibility to work in the United States and complete the required Employment Eligibility I-9 form upon hire.Equal Opportunity Employer:The DNR is an equal opportunity employer that promotes and values diversity. We do not discriminate on the basis of race, ethnicity, religion, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability.QualificationsIn addition to the required qualifications below, the selected candidate must be eligible to drive a state vehicle and meet the following criteria:Have a valid driver’s licenseBe at least 18 years of ageHave a minimum of two years licensed driving experienceHave not had three (3) or more moving violations and/or at-fault accidents in the past two (2) yearsHave no OWI/DUI violations within the past yearRequired qualifications:Demonstrated proficiency with pulling and querying data from relational databases (e.g., SQL)Demonstrated proficiency with data cleaning, data wrangling and documentation using R or similar (e.g., tidyverse, RMarkdown)Demonstrated proficiency with data analysis coding languages (e.g., R and Python)Demonstrated proficiency in statistical analysis and modeling of big data (e.g., generalized additive mixed models)Demonstrated proficiency with automation developmentDemonstrated proficiency in research data collaborationsPreferred Qualifications:Master’s degree or higher in data science, statistics, quantitative ecology, biology or a related fieldExperience developing R packagesExperience with PythonExperience with version control in GitHub, or similarExperience with computer programming and machine learningExperience with trail camera research projects and trail camera dataHow To ApplyClick the “Apply for Job” button and follow the directions. You will be able to save your application as many times as needed and make edits up until the point you submit your application.Once you submit your application, you will not be able to make any updates to the application or any materials submitted.Please note that the Wiscjobs system will time you out after 30 minutes of activity, so be sure to save your work often to avoid having to re-start the application process.For any position-related questions, please feel free to technical questions and troubleshooting related to the Wisc.Jobs site, please visitCommonly Asked Questions.Keep in mind that technical assistance is only available Monday through Friday 7:45 am – 4:30 pm.Your resume and letter of qualifications are very important parts of your application and are used during our evaluation process to determine your qualifications as they relate to the job. For instructions on developing your resume and letter of qualificationsand what should be included in these materials, clickhere.Deadline to ApplyApplications must be received by 11:59pm, Central Time, on September 29th, 2025in order to be considered. #J-18808-Ljbffr

Created: 2025-09-21