Food, Climate and Biodiversity Decision Analyst

The University of British Columbia is hiring a part-time Food, Climate and Biodiversity Decision Analyst for the Conservation Decisions Lab. The role involves using decision science to explore trade-offs between food security and biodiversity conservation. The position, starting June 1, 2025, offers an annual salary of $72,000 and requires collaboration with various teams while reporting to Dr. Tara Martin. It is a hybrid role based on the Vancouver campus.
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Food, Climate and Biodiversity Decision Analyst

Apply locations UBC Vancouver Campus time type Part time posted on Posted 2 Days Ago job requisition id JR20672 Academic

Job Category

Faculty Non Bargaining

Job Title

Food, Climate and Biodiversity Decision Analyst

Department

Research | Tara Martin Lab | Department of Forest and Conservation Sciences | Faculty of Forestry (Tara Martin)

Posting End Date

May 22, 2025

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

Job End Date

May 31, 2026

Salary for a full time position is $90,000 annual. Pro-rated part time at 80% is $72,000 annual.

Position Description

The Conservation Decisions Lab in the Department of Forest and Conservation Sciences (Faculty of Forestry, Vancouver Campus, The University of British Columbia) invites applications for a Research Associate, in the role of Food, Climate and Biodiversity Decision Analyst. The part-time position will start on June 1, 2025. The expected salary is $72,000 per year. This is a hybrid position working on the UBC Point Grey (Vancouver) campus.

Job summary

The candidate will explore the various trade-offs that ensue when trying to maximize food security and biodiversity conservation in the context of global change using decision science methodologies. The candidate will work to integrate decision science into the FCB case studies to identify sets of priority cost-effective strategies for achieving food, climate, and biodiversity goals.

Organizational Status

The candidate will report to Dr. Tara Martin, Conservation Decisions Team, Department of Forest and Conservation Sciences. The candidate will work closely with the food-climate-biodiversity (FCB) solutions Nexus team housed within the Institute for the Oceans and Fisheries, UBC, along with Solving FCB partnership case study leads.

Work Performed

The candidate will lead the development of a synthesis paper on using decision science to explore trade-offs between food security and biodiversity conservation under global change. The candidate will work with FCB case study leads to understand each case study and explore the synergies between case studies with respect to the identification and prioritization of cost-effective actions for achieving biodiversity and food security goals. In doing so, the candidate will develop several journal publications and associated resource material as decided upon in collaboration with the FCB team.

Consequence of Error

It is expected that the candidate will lead the decision analysis in collaboration with Dr. Tara Martin and others from the FCB team. Any issues that may arise will be dealt with in collaboration with Dr. Tara Martin.

Supervision Received

The candidate will report to Dr. Tara Martin. It is expected that the candidate is able to work independently and lead the decision analysis.

Supervision Given

The candidate will provide mentoring to PhD and Masters students working on the project.

Minimum Qualifications

- Willingness to respect diverse perspectives, including perspectives in conflict with one's own. (EDI) Demonstrates a commitment to enhancing one's own awareness, knowledge, and skills related to equity, diversity, and inclusion.
- PhD in Ecology or Conservation related field
- 2-3 years experience in the application of decision analysis to environmental issues

Preferred Qualifications

- Track record of high quality collaborations and resulting outputs (journal papers, science communication materials)
- Strong analytical skills
- Ability to work well in interdisciplinary teams

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