Project Manager - Veterinary Health Research
- Montreal, Quebec, Canada, Toronto, Ontario, Canada, United States
- Remote
- Posted Sep 30, 2026
- 1 position
Opens LinkedIn
- Employment type
- Full-time
- Experience level
- Entry, Junior · 0+ years
- Apply by
- Mar 27, 2027
- Posting language
- English
- Working hours
- 40 hours per week
- Location requirements
- Country, Montreal, Quebec, Canada
- Seniority
- Entry level
- Application method
- Direct apply is available
Job summary
Manage veterinary health data research projects from scoping through delivery, translating research questions into structured plans and actionable deliverables. Track timelines, risks, and project status while coordinating with external stakeholders and internal technical and data teams, and support data harmonization and mapping to standard taxonomies.
Job details
About the team We are a growing team of passionate individuals eager to make the world a better place for both pets and the people that own them. Our products leverage veterinary health data and AI to improve healthcare outcomes for animals and humans. We are looking for like-minded individuals who can help lead our research initiatives, turning veterinary health data into insights that shape the future of clinical and practice management tools. Our core development team is located in Montreal with additional teams located in Toronto and the U.S. We offer a remote work environment. We are looking for someone who can: Manage research projects that leverage veterinary clinical and health data, from scoping through delivery. Translate research questions into structured project plans and actionable deliverables. Track project timelines, risks, and status, interacting with external stakeholders as well as internal technical/data teams. Support data harmonization and mapping to standard taxonomies (e.g., SNOMED-CT Vet, VeNom, RxNorm). You will be a good fit if: You have the following skills and experience Veterinary degree (DVM/VMD). Experience with medical or veterinary informatics - EHR systems, clinical data, terminology standards, or data extraction tools. Experience managing research projects, clinical studies, or data-driven initiatives. Familiarity with data harmonization or mapping to clinical taxonomies/ontologies is a plus. Comfortable working with both clinical staff and technical/data teams. You have the following profile You like to take responsibility for delivering projects from conception to realisation. You like to work in an environment where you have space to be creative. You are eager to learn new skills. You are a strong communicator.
What you’ll do
Manage veterinary health data research projects from scoping through delivery, translating research questions into structured plans and actionable deliverables. Track timelines, risks, and project status while coordinating with external stakeholders and internal technical and data teams, and support data harmonization and mapping to standard taxonomies.
Requirements
A veterinary degree (DVM/VMD) and experience with medical or veterinary informatics, such as EHR systems, clinical data, terminology standards, or data extraction tools, are required. Candidates should have experience managing research projects, clinical studies, or data-driven initiatives and be comfortable collaborating with clinical and technical teams; familiarity with clinical taxonomy or ontology mapping is a plus.
Listed skills
- Project management · Preferred
- Risk Management · Preferred
- Cross-Functional Collaboration · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Project Management
- Veterinary Informatics
- Veterinary Clinical Data
- Research Project Management
- Clinical Studies
- Data Harmonization
- Clinical Taxonomy Mapping
- EHR Systems
- Data Extraction
- Risk Management
- Timeline Management
- Stakeholder Communication
- Cross-Functional Collaboration
- SNOMED-CT Vet
- VeNom
- RxNorm
Job areas
- Management & Leadership
- Healthcare
- Science & Research
- Data & Analytics
- Technology
