Applied Biotechnologies and Reproduction Researcher

About the role

The Applied Biotechnologies and Reproduction Researcher develops and oversees fundamental, physiological and applied research and reproductive biotechnology projects, mainly for threatened wildlife. The role covers reproductive physiology, gamete and embryo technologies, cell-based approaches and the translation of promising methods into conservation breeding practice, working closely with veterinary, breeding and external research teams.

Key responsibilities

• Design and lead research projects in reproductive physiology, assisted reproduction, gamete and embryo biology and related cell technologies.
• Develop and optimise methods for artificial insemination, cryopreservation, cell culture and genome resource banking.
• Assess the feasibility of in vitro fertilisation (IVF), embryo production and culture, and somatic cell nuclear transfer (SCNT) where biologically appropriate.
• Design experiments, troubleshoot protocols, analyse results and keep accurate, reproducible research records.
• Collaborate with veterinary and breeding teams on applying research methods in operational conservation programmes.
• Coordinate research collaborations with external scientific partners.
• Prepare scientific publications and communicate findings to relevant teams.

Required profile

• PhD in reproductive biology, veterinary or animal sciences, developmental biology, biotechnology or a closely related discipline.
• Substantial research experience in reproductive physiology, assisted reproduction, gamete or embryo biology, cryobiology or related cell technologies.
• Publication record relevant to the research areas of the role.
• Demonstrated experience designing and leading experimental research projects.
• Strong written and spoken English, including scientific writing and communication with international partners.
• Preferred: wildlife or threatened species experience, conservation breeding programme support, IVF, embryo transfer, ICSI, SCNT or cloning experience, genome resource banking, and mentoring postgraduate students or junior researchers.

Required skills

• Experimental design, data analysis, protocol development and scientific documentation.
• Microsoft Office, especially Excel and PowerPoint.
• Statistical analysis software and scientific data management tools.