POSITION:
Generation Challenge Programme, Subprogramme 4 Leader:
Bioinformatics and Crop Information Systems
The Generation Challenge
Programme (GCP) is seeking a highly innovative and
self-motivated candidate as a full-time Subprogramme Leader
(SPL) for Subprogramme 4: Bioinformatics and Crop Information
Systems. This Subprogramme (SP) facilitates storage,
retrieval and analysis of GCP research data. This includes
supporting GCP scientists in assuring the quality of their data,
making their data accessible to other scientists and analysing
the data in the best possible way by developing biometric and
bioinformatic methodologies, databases and software tools. The
Subprogramme 4 Leader also takes the initiative to conduct
further analysis that can complement or add value to existing
datasets.
The SPL will be part of the GCP Management Team and as such will
participate in developing GCP strategies and research
priorities, and will work with the GCP Director and other SPLs
to ensure that the combined information and outputs from each SP
meet GCP’s objectives. The position is for an initial fixed-term
contract of three years, after which there should be a high
possibility for renewal subject to performance and availability
of GCP funds. The SPLs report directly to the GCP Director.
We are seeking candidates with the following qualifications:
-
Ph.D. in plant biology,
quantitative genetics, biometrics and/or bioinformatics.
-
Experience in scientific
leadership and capacity to coordinate and manage a broad set
of research projects.
-
At least five years of
practical experience in developing and applying biometric
and/or bioinformatic methods related to genetic analysis
and/or plant breeding.
-
Knowledge of marker
technologies, marker-assisted selection pipelines and gene
discovery approaches.
-
Knowledge of the principles of
software architecture and hardware platforms.
-
Affinity for international
agricultural research and development.
-
Ability to work well as part
of a multidisciplinary and decentralised team.
-
Excellent communications
skills in written and spoken English, and working knowledge
of a second major languare.
Experience in the following areas
would also be considered a major asset:
-
Experience in crop breeding
programmes in a research environment, especially in the
private sector.
-
Appreciation of intellectual
property management.
-
Ability to present the
Subprogramme or the Programme to different stakeholders,
including funders.
The Generation Challenge
Programme is an internationally funded, non-profit research
and training programme. GCP was created by the Consultative
Group on International Agricultural Research (CGIAR) to bring
together research efforts at public and private research
institutions in developed and developing countries, and in this
way build a platform of publicly available genetic and genomic
resources and tools that can be used to deliver the fruits of
the Genomics Revolution to resource-poor farmers. GCP has an
annual budget of USD$14 million and is hosted by
the International Maize and
Wheat Improvement Center (CIMMYT); at the main campus 45 km
northeast of Mexico City, Mexico. Ideally the Subprogramme 4
Leader will have CIMMYT as his/her headquarters, but location is
negotiable as may be appropriate.
CIMMYT offers an attractive remuneration package paid in US
dollars, with a range of benefits including housing allowance,
life and health insurance, education allowance (to Grade 12),
home leave, retirement fund, and relocation shipping allowance.
GCP/CIMMYT is an equal-opportunity employer and strives for
staff diversity in gender and nationality.
Please send via e-mail your letter
of application no later than April 14, 2008, CV/Resume
(including full contact information), and names and contact
information of three references to:
Human
Resources Manager, CIMMYT
(Reference 2008/04)
Email:
jobs-cimmyt@cgiar.org
Shortlisted candidates will be
interviewed by the Selection Committee in early May.
For further information, contact
Dr Jean-Marcel Ribaut, GCP Director,
j.ribaut@cgiar.org
2250 |
|