Applied Biodiversity Science Lead

The Compensation Range is the span between the minimum and maximum base salary for a position. The midpoint of the range is approximately halfway between the minimum and the maximum and represents an employee that possesses full job knowledge qualifications and experience for the the normal course employees will be hired transferred or promoted between the minimum and midpoint of the salary range for a job.

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

Job 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.

Job Summary
Working within the Partnerships for Applied Research Centre (PARC) and the Wildlife Science Centre (WSC) at Biodiversity Pathways and in partnership with the Okanagan Institute for Biodiversity Resilience and Ecosystem Services (BRAES) at UBC Okanagan the Applied Biodiversity Science Lead contributes scientific and technical leadership to collaborative biodiversity monitoring and applied research initiatives. This position bridges rigorous ecological science with community partnership supporting programs that span Indigenous community-based monitoring wildlife data collection and analysis and field-based biodiversity research. The role requires good quantitative and data management skills alongside the interpersonal ability to work effectively with a range of partners including Indigenous communities government agencies and academic collaborators.

Organizational Status
The Applied Biodiversity Science Lead will be hosted within the Okanagan Institute for Biodiversity Resilience and Ecosystem Services (BRAES) at UBC Okanagan and reports to the Director Partnerships for Applied Research Centre (PARC) at Biodiversity Pathways. The position works closely with the Applied Wildlife Science and Monitoring Lead within the Wildlife Science Centre (WSC) and collaborates across BP program areas and with external partners.

Work Performed
Applied Science and Field Programs

• Leads and supports the delivery of applied wildlife monitoring and biodiversity research projects contributing to study design protocol development data collection and reporting.
• Provides expertise in wildlife ecology and biodiversity monitoring techniques such as camera traps wildlife surveys and collars.
• Contributes to literature reviews and synthesis of ecological knowledge to inform project design and adaptive management.
• Supports logistical planning and field delivery including protocol development site selection training and data upload and checking.
• Prepares technical reports project summaries and scientific manuscripts for technical and non-technical audiences.

Data Management and Analysis

• Designs builds and maintains reproducible data pipelines for wildlife monitoring telemetry and community-collected biodiversity datasets applying rigorous quality assurance and quality control throughout.
• Conducts statistical analyses using R and/or Python; develops and documents repeatable analytical workflows.
• Works with GIS platforms (e.g. ArcGIS QGIS) to support spatial analysis mapping and habitat modelling.
• Manages structured ecological databases and supports the development of data products and reporting outputs.
• Ensures Indigenous data sovereignty principles are respected in all data management and sharing activities.

Collaborative Program Development

• Works with Indigenous communities government and/or industry partners to identify information needs and co-develop biodiversity monitoring programs.
• Facilitates co-learning and knowledge-sharing with communities including respectful engagement around Traditional Knowledge and data sovereignty.
• Fosters and maintains relationships with external project collaborators supporting proposal writing and funding development.
• Schedules organizes and facilitates project meetings; tracks and follows up on action items with project teams.
• Works with the Director and external collaborators to identify funding opportunities and develops these into full grant proposals and applications.
• Participates in budget forecasting and preparation for project and program funding including tracking multi-year budgets.

Knowledge Mobilization and Communication

• Communicates project outcomes in written and oral form to non-technical and technical audiences.
• Supports scientific publication and reporting including organizing and interpreting results for collaborators staff and stakeholders.
• Accurately documents decisions implementation actions and project progress.

Consequence of Error/Judgement
Given the external partnership aspects of this role and its community-facing responsibilities errors in scientific judgement data management or communications can result in significant credibility and reputational implications for Biodiversity Pathways. Poor project management will reduce team productivity and risk deliverables being late or over budget. This position builds long-term trust with community partners; consistency honesty and integrity are critical. Budget decisions over $2500 will normally involve documented consultation with the supervisor.

Supervision Received
The Applied Biodiversity Science Lead makes professional decisions and recommendations on all aspects of assigned research and monitoring work and is accountable for the scientific quality and rigor of that work. The role also makes decisions regarding funding sources for specific projects and leads the preparation of funding and grant applications.

Supervision Given
The Applied Biodiversity Science Lead is supervised by the Director Partnerships for Applied Research Centre (PARC) at Biodiversity Pathways with day-to-day scientific collaboration also occurring with the Applied Wildlife Science and Monitoring Lead (WSC).

Minimum Qualifications

• 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 ones own.
• Demonstrates a commitment to enhancing ones own awareness knowledge and skills related to equity diversity and inclusion.

Preferred Qualifications

• Graduate degree (. 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.