This position offers the 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 approaches 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 application of genomic data to understand malaria epidemiology and malaria vaccine development and efficacy measurement.

We are looking for a talented bachelor or masters-level associate computational biologist to join our team at the Broad. The successful candidate will curate and analyze large genetic datasets associated with clinical therapeutic trials, and develop and support cloud-based tools and user interfaces to use DNA sequence data from malaria parasites for epidemiology. This position offers an opportunity to have an impact on global public health through direct involvement in clinical therapeutic trials and the development of disease surveillance tools.

The candidate will maintain a portfolio of projects that include highly collaborative efforts as well as smaller exploratory projects. She/he will interact closely with molecular parasitologists and computational biologists at the Broad Institute and Harvard T.H. Chan School of Public Health.

CHARACTERISTIC DUTIES

• Run analysis pipelines and curate a database of genetic data and subject metadata from a large clinical vaccine trial

• Collaborate and clearly communicate with both computational biologists and molecular parasitologists to support innovative and impactful collaborative projects

• Give updates on projects to internal Broad/Harvard scientists and present posters or talks at conferences

• Contribute to the development and curation of new analysis pipelines and databases

• Liaise with information technology groups within the Broad to manage data storage and computational analysis resources, both in the cloud and locally at the Broad

QUALIFICATIONS

• B.A. or M.A. in bioinformatics, biology, statistics, computer science, or a related field, or equivalent practical experience

• Expertise in Illumina sequencing data analysis tools and general knowledge of statistical methods for genomic data analysis

• Fluency in Unix, standard bioinformatics tools (Python, R, or equivalent), and a programming language (C/C++, Java) required

• Experience with relational databases (SQL/MySQL) preferred

• Experience with cloud-based computational environments desirable

• Excellent communication, organization, and time management skills

• Creative, organized, motivated, team player