Program Officer Livestock Animal Health

• PhD or Master of Veterinary Science (MVSc) in Veterinary Science and Animal Husbandry is mandatory.

• For MVSc candidates: Minimum 3+ years of hands-on experience in Artificial Insemination, reproductive technologies, or advanced livestock breeding programmes.
• For PhD candidates: Both freshers and experienced professionals will be considered.

Candidates should demonstrate experience or technical exposure in:

• Artificial Insemination programme management.
• Sex-sorted semen deployment.
• Embryo Transfer (ET) programmes.
• IVF-based breeding initiatives.
• Herd health and reproductive management.
• Livestock productivity enhancement.

Experience working with State Animal Husbandry Departments (AHD), dairy federations, veterinary institutions, or livestock development partners will be preferred.

• Strengthen Artificial Insemination (AI) service delivery models, including doorstep AI services and cluster-based breeding systems.
• Monitor and improve conception rates, reproductive efficiency, and the quality of AI services.
• Establish and monitor quality-control protocols for semen handling, storage, Liquid Nitrogen (LN2) chain management, and field deployment.
• Develop and implement protocols for repeat breeding management and improved reproductive performance.

• Support the implementation, rollout, and monitoring of sex-sorted semen programmes.
• Identify high-potential livestock clusters for targeted genetic improvement interventions.
• Track key performance indicators, including conception rates, calving rates, and female calf ratios.
• Train and guide AI technicians on the appropriate handling, storage, and deployment of sex-sorted semen.
• Support the adoption of improved breeding practices to enhance the genetic quality of livestock populations.

• Coordinate the planning and implementation of Embryo Transfer (ET) and IVF-based genetic improvement initiatives.
• Support donor and recipient animal selection and management protocols.
• Monitor pregnancy confirmation rates, embryo survival, and overall breeding outcomes.
• Coordinate with certified ET practitioners, veterinary universities, and biotechnology partners.
• Develop strategies to scale advanced breeding interventions and promote high-genetic-merit herd development.

• Strengthen preventive animal health programmes, including vaccination, deworming, and disease surveillance.
• Develop and improve herd health management protocols and strategies to reduce livestock morbidity.
• Monitor livestock mortality, disease incidence, and coverage of veterinary health services.
• Coordinate with state veterinary infrastructure and government disease-control programmes.
• Support the implementation of effective animal health interventions at the field and cluster levels.

• Support scientific feeding interventions, including ration balancing and fodder system improvements.
• Promote Total Mixed Ration (TMR) and cluster-based feeding models wherever feasible.
• Integrate nutrition and feeding strategies with reproductive performance improvement initiatives.
• Monitor productivity indicators, including milk yield, body condition scores, and livestock growth parameters.
• Identify opportunities to improve animal productivity through better nutrition and herd management practices.

• Train veterinarians, AI technicians, para-veterinarians, and field workers on advanced reproductive technologies and animal health practices.
• Develop technical Standard Operating Procedures (SOPs) and operational guidelines for AI, ET, IVF, and herd health management.
• Conduct technical reviews, field assessments, and performance audits of breeding and animal health service delivery systems.
• Provide technical guidance to field teams and implementation partners to ensure quality and consistency.

• Monitor and report on key technical performance indicators, including:
• Number of AI services delivered and conception rates.
• Sex-sorted semen deployment and performance metrics.
• ET and IVF pregnancy success rates.
• Disease incidence and vaccination coverage.
• Improvements in milk yield and reproductive cycle efficiency.
• Develop dashboards, monitoring tools, and analytical reports for internal and donor reporting.
• Analyse programme data to identify performance gaps and recommend corrective interventions.
• Support evidence-based decision-making and continuous improvement of livestock breeding and animal health systems.

• Strong understanding of reproductive physiology, fertility management, and livestock breeding systems.
• Hands-on knowledge of semen handling, cryopreservation logistics, and Liquid Nitrogen (LN2) chain management.
• Understanding of ET protocols, reproductive synchronisation, and donor-recipient animal management.
• Knowledge of animal disease surveillance, vaccination planning, and preventive health systems.
• Ability to integrate breeding, nutrition, herd health, and productivity improvement interventions.
• Strong technical supervision, analytical, coordination, and reporting capabilities.

• Artificial Insemination (AI)
• Sex-Sorted Semen
• Embryo Transfer (ET)
• Reproductive Biotechnology
• Livestock Breeding and Reproductive Management
• Animal Health and Herd Management