Scientist I - Statistics and Biometrics

The International Rice Research Institute, Philippines

Skill Required:, Research and Analysis
Preferred Experience: 
3 Years
Closing Date for Applications: 
26th April, 2019

Job Description

About IRRI

The International Rice Research Institute (IRRI) is the world’s premier research organization dedicated to reducing poverty and hunger through rice science; improving the health and welfare of rice farmers and consumers; and protecting the rice-growing environment for future generations. IRRI is an independent, nonprofit, research and educational institute, founded in 1960 by the Ford and Rockefeller foundations with support from the Philippine government. The institute, headquartered in Los Baños, Philippines, has offices in 17 rice-growing countries in Asia and Africa, and over 1,000 staff.

Working with in-country partners, IRRI develops advanced rice varieties that yield more grain and better withstand pests and disease as well as flooding, drought, and other harmful effects of climate change.

Job Purpose

The Rice Breeding Platform will deliver on key priorities of the Strategic Plan in the areas of breeding for favorable environments, breeding for unfavorable environments, host plant resistance, quantitative genetics, seed and delivery systems and germplasm evaluation. To meet the needs of research groups across IRRI platforms, this position will lead:

  • Development and application of quantitative genetic and statistical methods/tools including experimental designs for rice breeding
  • Breeding analytics and efficient management of data and information

This position will be based at the IRRI Headquarters, Los Baños, Philippines and is open for international applications.

Roles and Responsibilities

  • Develop and promote research on the application of quantitative genetic and statistical methods to research teams across Platforms
  • Provide guidance and support to research teams across Platforms and of the NARES partners on breeding program and multi-location testing design, design of experiments, data analysis and data management
  • Support the use of appropriate statistical design and analysis tools and data management platforms, in order to empower researchers to independently manage and analyze their data
  • Ensure that best practices and policies for data collection, transmission and analyses are followed
  • Ensure delivery of outcomes aligned with the IRRI’s vision, mission, values, target goals, policies and procedures
  • Manage performance and mentor scientists and staff in the Research
  • Coordinate closely with research teams across platforms and partners to provide support and guidance for design of experiments, data management, data analyses and interpretation
  • Collaborate with government, donors, rice R&D partners, private enterprise to align with client and donor expectation
  • Maintain and proactively develop network and partnerships with potential donors
  • Lead the maintenance and improvement of centralized databases to ensure efficient management of research and breeding program information and data
  • Develop training curricula and manuals and implement systematic training programs on statistical design, data analysis, and data management
  • Actively contribute to scientific growth and implementation of modern statistical methods especially for complex data sets from national and regional trials
  • Supervise, coach and mentor scientific professional and support staff including PhD students, Postdoctoral Fellows, and Scientists on research projects and contribution to collaborations with NARES and ARI
  • Publish and actively contribute to articles in peer-reviewed journals/digests that highlight findings from research and experiment activities showcasing the Institute's scientific leadership
  • Actively seek external funds and secure partnerships for research and development

Qualifications: PhD in relevant discipline with at least 3 years post-PhD experience in biometrics and statistical designs, data analyses or relevant areas

Skills Required


  • Demonstrated skills in modern quantitative and statistical methods including breeding value estimation, estimation of quantitative genetic parameters, partially replicated statistical designs, spatial and stability analyses, and simulations
  • Has excellent research and data management experience
  • Has demonstrated contribution to the delivery of strategies and plans of multiple projects
  • Has outstanding leadership and organizational skills

Preferred: Experience with breeding informatics; work experience in providing services to diverse teams and working with large historical datasets


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