Parasitologist Job Description Sample
Computational Biologist: Malaria
This position is a unique opportunity to join the malaria genomics group at the Broad Institute and Harvard T.H. Chan School of Public Health. We apply genomic and transcriptomic investigations to malaria parasites, mosquito vectors, and human hosts to understand the biology of malaria and develop tools and approaches informed by population genetics and evolution for its control. Specific interests of the group include drug/insecticide resistance mechanisms, antigenic diversity and its impact on vaccine efficacy, and transmission biology.
We are looking for a talented PhD-level computational biologist to join our team at the Broad. The successful candidate will develop and manage genomic and transcriptomic projects, actively and effectively manage relationships with collaborators around the world, assemble high-impact publications, assist in grant applications, and become an active and engaged citizen of the wider community of bacterial, fungal, and viral genomicists that make up the Broad's Infectious Disease and Microbiome Program. This position offers an opportunity for growth of an independent research program through development of new projects and acquisition of independent funding, and may be attractive to candidates who will soon be completing a postdoctoral fellowship.
The candidate will maintain a portfolio of projects that include highly collaborative efforts as well as independently conceived studies. She/he will interact closely with molecular parasitologists and computational biologists in the Neafsey Lab at the Harvard T.H. Chan School of Public Health, as well as with the Associate Director of Malaria and Viral Genomics at the Broad and other malaria investigators at Harvard.
Perform analysis on large-scale genomic and transcriptomic datasets
Collaborate and clearly communicate with both computational biologists and molecular parasitologists to develop innovative and impactful collaborative projects
Design and lead independent projects
Give presentations on research to internal Broad/Harvard audiences as well as at international conferences, explaining ideas clearly and compellingly to both specialized and non-specialized audiences
Provide advice and mentoring to trainees
Contribute to the generation and curation of analysis pipelines and databases
Liaise with information technology groups within the Broad to manage data storage and computational analysis cluster resources
Ph.D. in computational biology, genetics, computer science, statistics, math, molecular biology, or related field, or equivalent practical experience.
Expertise in Illumina sequencing data analysis tools and general knowledge of statistical methods for genomic and transcriptomic data analysis.
Demonstrated ability to clearly communicate scientific ideas and results in oral presentations.
A publication record reflecting high productivity and the ability to write clearly.
Interest in infectious diseases and global health
Familiarity with population genetic and molecular evolutionary analysis methods, including tests of natural selection and phylogenetics
Fluency in Unix, standard bioinformatics tools (Python, R, or equivalent), and a programming language (C/C++, Java)
Excellent communication, organization, and time management skills
Creative, organized, motivated, team player
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