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Job Description
There is a position available in the Computational Sciences Statistics and Analysis (CS-SA) Group to provide bioinformatics analysis and statistical consulting support to our research staff and JAX Mice and Services. This position will have a significant focus on providing analytical support for high-throughput-sequence (HTPS) data analysis and will interact directly with research faculty and staff at The Jackson Laboratory. The successful candidate will need to develop a broad understanding of faculty research goals and will consult with faculty on the use of the bioinformatics service.
Responsibilities include a majority of the following:
* Analysis and interpretation of HTPS data;
* Developing and managing HTPS data analysis pipelines;
* Involvement in all phases of analysis from data processing and quality control through final analytical results;
* Develop analytical expertise in DNASeq, RNASeq and ChIPSeq as it pertains to HTPS data analysis;
* Gene Expression Analysis;
* Work closely with the other Computational Sciences groups, especially the Computational Sciences scientific computing group to develop synergistic interactions that promote best use and collaboration within the entire Computational Sciences group direct involvement in writing data analysis scripts in widely used bioinformatics and statistics programming languages such as Perl, Python, R, MATLAB, or SAS.
Required Experience
The successful candidate should have a strong background in bioinformatics tools and resources, molecular biology, genomics and genetics, and data analysis techniques advanced knowledge of biostatistics is a plus. Minimum requirements are a PhD in a biomedical and/or biostatistics discipline or a MS degree and significant relevant experience. The successful candidate will be detailed oriented, highly organized, have excellent written and verbal communications skills and be able to orally present complex materials to scientific audiences. The successful candidate will also need to have a high level of interest in continuous learning of new science and tools for discovery. Flexibility to travel a few times each year is required.
To apply:
Job code=2358
There is a position available in the Computational Sciences Statistics and Analysis (CS-SA) Group to provide bioinformatics analysis and statistical consulting support to our research staff and JAX Mice and Services. This position will have a significant focus on providing analytical support for high-throughput-sequence (HTPS) data analysis and will interact directly with research faculty and staff at The Jackson Laboratory. The successful candidate will need to develop a broad understanding of faculty research goals and will consult with faculty on the use of the bioinformatics service.
Responsibilities include a majority of the following:
* Analysis and interpretation of HTPS data;
* Developing and managing HTPS data analysis pipelines;
* Involvement in all phases of analysis from data processing and quality control through final analytical results;
* Develop analytical expertise in DNASeq, RNASeq and ChIPSeq as it pertains to HTPS data analysis;
* Gene Expression Analysis;
* Work closely with the other Computational Sciences groups, especially the Computational Sciences scientific computing group to develop synergistic interactions that promote best use and collaboration within the entire Computational Sciences group direct involvement in writing data analysis scripts in widely used bioinformatics and statistics programming languages such as Perl, Python, R, MATLAB, or SAS.
Required Experience
The successful candidate should have a strong background in bioinformatics tools and resources, molecular biology, genomics and genetics, and data analysis techniques advanced knowledge of biostatistics is a plus. Minimum requirements are a PhD in a biomedical and/or biostatistics discipline or a MS degree and significant relevant experience. The successful candidate will be detailed oriented, highly organized, have excellent written and verbal communications skills and be able to orally present complex materials to scientific audiences. The successful candidate will also need to have a high level of interest in continuous learning of new science and tools for discovery. Flexibility to travel a few times each year is required.
To apply:
Job code=2358