The Gulf of Maine Research Institute in Portland, ME, is seeking applicants for a full-time Research Technician to assist with statistical analyses and modeling of fish population and marine ecosystem data. The work will span multiple research projects that focus on understanding changes in the Gulf of Maine / North Atlantic marine ecosystems and projecting future population and ecosystem features based on scenarios of climate change, fishing, and other drivers of interest. Projects use a range of analytical approaches; some focus on statistical analyses, while others will develop and test population, ecosystem, and coupled social-ecological models.
Core Responsibilities/Tasks: · Manage large and diverse data sets · Conduct statistical analyses (including time series, spatial, and multivariate statistics) · Develop and test population, ecosystem, or coupled social-ecological models · Manage code for manipulating and processing data in accessible and well documented manners · Perform literature reviews · Contribute to writing of project reports and manuscripts Required Qualifications: • Master’s (preferred) or Bachelor’s degree in scientific field that included quantitative coursework • Knowledge of oceanography, marine ecology, or fisheries science • Strong quantitative skills, including experience with statistical analyses (e.g., regression, time series, spatial, and/or multivariate statistics) and ecological modeling • Proficient programmer in R • Previous experience managing data sets • Strong organizational skills and ability to manage multiple tasks and timelines • Strong verbal and written communication skills • Demonstrated ability to work independently and as part of a team • Available to start in early 2019 Other Preferred Qualifications: • Experience fitting models to data for fisheries stock assessment and/or experience in simulation modeling • Experience working with satellite data or climate model outputs • Familiarity with marine fisheries, protected resources, or spatial planning in New England • Proficient user of Microsoft Excel, Microsoft Access, SQL or other databases • Familiarity with additional programming languages, such as MATLAB, Python For full job posting and application information, please see http://gmri.org/about-us/join-our-team/jobs/quantitative-research-technician-0. Closing date for applications is Dec. 14.