Veterinary Researcher – Wildlife Conservation and Virology

About the role

Reneco is seeking a Veterinary Researcher to develop and coordinate veterinary research supporting wildlife conservation and breeding programmes, with a particular focus on virology, immunology and infectious diseases. Based in the Research Division in Abu Dhabi, the researcher identifies scientific priorities, develops research projects and oversees studies carried out internally, by students and through external collaborations, working closely with the Veterinary Division.

Key responsibilities

• Identify knowledge gaps and propose veterinary research projects aligned with conservation, animal health and breeding priorities.
• Design and lead scientific studies, defining objectives, methods, timelines and expected deliverables.
• Oversee scientific quality, ethical requirements, data analysis and reporting of research projects.
• Supervise and mentor students involved in veterinary research.
• Monitor progress and review the scientific outputs of projects run by external collaborators.
• Develop and coordinate partnerships with academic institutions, laboratories and veterinary research teams.
• Provide scientific support to the Veterinary Division, especially on virology, immunology and infectious diseases.
• Prepare scientific publications, technical reports and presentations, and communicate findings to scientific and operational teams.
• Maintain accurate research documentation so project findings are accessible to relevant teams.

Required profile

• Veterinary degree and a PhD in veterinary sciences, virology, immunology, infectious diseases or a closely related field.
• At least 4 years of relevant research experience, with substantial post-degree experience and evidence of independent project delivery and publications.
• Experience supervising or mentoring students and coordinating multidisciplinary or external research collaborations.
• Fluent written and spoken English.
• Willingness to undertake occasional international travel.

Required skills

• Strong study design, data interpretation, scientific writing and communication skills.
• Proficiency in Microsoft Office, particularly Word, Excel and PowerPoint.
• Proficiency in statistical analysis software and scientific data management tools.