Applied Biodiversity Science Lead

Note: Applications will be accepted until 11:59 PM on the Posting End Date.

Applications should include a cover letter, CV, and contact information for three professional references in a single PDF file. Applications will be reviewed on a rolling basis. The position will remain open until filled.

At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the necessary conditions for a rewarding career. 

• →Undergraduate degree in a relevant discipline. Minimum of three years of related experience, or the equivalent combination of education and experience.
• →Willingness to respect diverse perspectives, including perspectives in conflict with one’s own.
• →Demonstrates a commitment to enhancing one’s own awareness, knowledge, and skills related to equity, diversity, and inclusion.

• Graduate degree (M.Sc., Ph.D. is an asset) in wildlife ecology, environmental science, conservation biology, natural resource management, or a related discipline.
• Excellent organizational and interpersonal skills; strong written and oral communication.
• Demonstrated proficiency in at least one programming language for data analysis (R and/or Python strongly preferred), including experience organizing and working with ecological or environmental datasets.
• Experience with data management, including organizing, cleaning, and quality-checking complex datasets.
• Working knowledge of GIS software (ArcGIS, QGIS, or equivalent).
• Demonstrated ability to communicate technical or scientific information clearly in written and oral form.
• Experience working with Indigenous communities, government, and/or industry partners in a collaborative research or monitoring context.
• Demonstrated ability to lead projects with some independence, including tracking deliverables and coordinating with collaborators.
• Experience building reproducible analytical workflows; familiarity with version control (e.g., GitHub) or willingness to learn.
• Familiarity with wildlife monitoring methods including camera traps, wildlife surveys, telemetry, acoustic monitoring, and/or ARUs.
• Knowledge of Indigenous data sovereignty principles (e.g., OCAP®).
• Familiarity with statistical approaches used in wildlife ecology (e.g., habitat selection models, occupancy models).
• Familiarity with machine learning or remote sensing tools applied to ecological data.