Do you have strong research and statistical skills? If so, Science and Research Branch is looking for a person to provide specialized scientific, statistical and technical support to forest productivity and growth and yield modelling projects.
The Forest Research and Monitoring Section at the Ontario Forest Research Institute (OFRI) is committed to providing scientific leadership and excellence in forest research, program development, and technology transfer to a range of natural resource clients in Ontario. We work in support of policy development and operational resource management to contribute to the management of Ontario's forest ecosystems. Major emphases include understanding ecosystem processes, patterns and diversity; evaluating disturbance effects and recovery of forest ecosystems; developing alternative silvicultural practices to achieve sustainable forestry objectives; and developing methods and tools to support sustainable resource use decisions. We work in partnership with our clients and in cooperation with other scientific organizations to ensure the effectiveness of our efforts.
Note: The successful candidate will have the option of working from the following satellite office locations:
- 1235 Queen St E, Sault Ste Marie
- 421 James St. South Suite 103, Thunder Bay
We are committed to build a workforce that reflects the communities we serve and to promote a diverse, anti-racist, inclusive, accessible, merit-based, respectful and equitable workplace.
We invite all interested individuals to apply and encourage applications from people with disabilities, Indigenous, Black, and racialized individuals, as well as people from a diversity of ethnic and cultural origins, sexual orientations, gender identities and expressions.
Visit the
OPS Anti-Racism Policy and the
OPS Diversity and Inclusion Blueprint pages to learn more about the OPS commitment to advance racial equity, accessibility, diversity, and inclusion in the public service.
We offer employment accommodation across the recruitment process and all aspects of employment consistent with the requirements of Ontario's
Human Rights Code. Refer to the "How to apply" section if you require a disability-related accommodation.
In this role, you will,:
- Coordinate data collection, maintenance and management for large and complex data sets.
- Perform landscape-level analyses and assist in the running, managing and coordinating of large complex computer simulations of various models with team members;
- Analyze, interpret and compare modelling results using GIS, python and R, prepare data summaries, and present the results to other team members.;
- Assist in designing and maintaining databases and file structures for both data and file management;
- Provide support to Geographic Information System (GIS) users.
- You demonstrate sound theoretical knowledge of computer simulation modeling;
- You have knowledge of the ecology of boreal and temperate terrestrial ecosystems;
- You have an understanding of the Occupational Health and Safety Act.
- You possess working knowledge of and demonstrated experience with use of GIS applications/software, development of specialized map and information products, and provision of support to GIS users;
- You are knowledgeable of and have demonstrated experience with maintaining database records, manipulating, analyzing and managing tabular and spatial data;
- You have knowledge of and experience with computer hardware, software (e.g. LANDIS-II) and networking systems; troubleshooting and managing GIS software and databases;
- You demonstrate advanced skills in computer programming techniques and languages to manage large databases, develop tools and calibrate and adapt models;
- You have knowledge of geographical information systems, large database management, spreadsheet, word processing, and graphics software;
- You are proficient at scripting using open source programming languages such as Python and R to automate tasks;
- You have experience with data management tools (e.g. Microsoft Excel, Microsoft Access ) and techniques;
- You demonstrate excellent organizational and planning skills;
- You are comfortable working using the command line to run scripts and other command line tools;
- Comfortable working with very large, disparate datasets.
- You have effective oral and written communication skills;.
- You are able to explain modeling techniques, mathematics, and scientific methods and results to diverse audiences.
