The CEBio - Centro de Excelência em Bioinformática from Fio Cruz, Brasil (http://www.cebio.org/) and the BMHid-Biologia Molecular de Hidatidosis, CONICET, Argentina (http://www.conicet.gov.ar) labs are seeking a highly motivated phD student with a deep interest in the computational mining of genomic data and the integration and joint analysis of parasite databases. The CEBio is a genomics and bioinformatics center that is currently involved in a number of genomics projects from bacteria to higher eukaryotes. The BMHid is one of the few laboratories with interdisciplinary research in the neglected disease: cystic hydatidosis, in one of the most important Universities of the area. BMHid is engaged in the study of the molecular basis of Echinococcus development and survival as well as in molecular epidemiology of cystic hydatidosis in South America.
The candidate will work within a multidisciplinary team involved in the development of a genome parasite database. The aim of the project is to develop and apply genomic and transcriptomic analysis methods to database development, covering aspects related to gene annotation, transcriptomic and metabolic data integration, detection of entities of biomedical interest and the extraction of relationships between these entities (such as drug targets).
In Brazil the candidate will spend approximately 1 year working on setting up the infrastructure for uploading, integrating and making available the parasite genomes, using an architecture similar to that available for SchistoDB (www.schistodb.net). In Argentina, genomic and transcriptomic data will be integrated using already existing and the newly generated databases to analyze the mechanisms involved in developmental processes, such as small RNAs machineries and small RNAs targets.
Applicants should have a MSc degree in one of the relevant fields such as:
Biomedical Informatics, Bioinformatics, Computer Science.
• Competitive programming skills (demonstrable knowledge of at least two programming languages such as Java, Perl, Python, C/C++).
• Ability to develop algorithms and software for database development
• Good communication skills and good English
• A strong interest in collaborating with experts from biomedical and bioinformatic areas
Other desirable skills:
• Experience in biomedical research
• Ability to work in an interdisciplinary team
• Knowledge/experience in machine learning methods and with existing software that might be relevant to the research project
The selected candidate will be allocated in the Doctoral program (possibilities are Health Sciences at Fiocruz, Genetics and Bioinformatics at UFMG) and salary according to CNPq (R$ 1800,00).
How to apply:
Please send a CV, letter of interest and the contact information of 2 referees by e-mail to
Dr. Laura Kamenetzky,
until 30th November 2011.