Closing date: 17 August 2017
The International Livestock Research Institute (ILRI) seeks to recruit a Bioinformatician to develop data analysis strategies relevant to gene discovery, immuno-informatics and genotyping using state-of-the-art concepts from computational biology and bioinformatics. The successful candidate should be familiar with high-performance computing environments, job scheduling and parallel computing.
The International Livestock Research Institute (ILRI) works to improve food and nutritional security and reduce poverty in developing countries through research for the efficient, safe and sustainable use of livestock. It is the only one of 15 CGIAR research centres dedicated entirely to animal agriculture research for the developing world. Co-hosted by Kenya and Ethiopia, it has regional or country offices and projects in East, South and Southeast Asia as well as Central, East, Southern and West Africa. www.ilri.org
- Design and implement bioinformatics pipelines and sequencing methods for quality control, assembly, analysis and interpretation of high throughput sequence data
- Implement platforms for visualizing data outputs
Design, establish and manage relational databases for storage, sharing and efficient retrieval of information
- Communicate results to the team, students and to researchers via presentations.
- Identify bioinformatics knowledge gaps and needs and develop solutions to address them
- Participate in bioinformatics training workshops for scientific staff at ILRI and students.
- Provide technical guidance and supervise interns and students leading bioinformatics projects at ILRI
- Publish results of research in high quality peer-reviewed international journals and attend meetings and conferences
- Participate in the development of new research proposals to mobilize bioinformatics funding at ILRI
Post location: The position will be based in Nairobi, Kenya
For more information on Requirements, Job Position, Benefits and How to apply, Click here to visit ILRI website for more details