Job Description:
We are searching to fill an associate computational biologist position for the Malaria Genome Sequencing and Analysis group at the Broad Institute. The person filling this position will assist in performing bioinformatic analyses on genomic and transcriptomic data from infected blood samples. She or he will work collaboratively with other bioinformatic scientists as well as wet lab biologists to interpret data and make it accessible to a large interdisciplinary group. The scope of activities may range from generating analysis pipelines that will be used many times to carrying out one-off analyses to ask a specific question of a particular dataset. The broader goals of the work will be to develop differential genomic and transcriptomic diagnostic markers of malaria and other co-morbid infectious diseases affecting the developing world, to better understand the biology, evolution, and transmission of malaria parasites, and to determine how genomic diversity contributes to drug-resistance, immune evasion, and other etiologies in malaria.
CHARACTERISTIC DUTIES
Perform bioinformatic analyses to extract biological meaning from next-generation sequencing, genotyping and RNA-seq transcription data
Research and identify proper approaches for interrogating data using primary literature
Work collaboratively with wet lab scientists at the Broad as well as other institutions to make data accessible and interpretable
Learn, utilize, and extend existing tools and pipelines for data analysis within the group
Submit large datasets to public archives
Perform other duties as necessitated by the position or as assigned
QUALIFICATIONS
B.S. degree in computer science, bioinformatics, biological sciences, or related field required, M.S. degree strongly desired.
Proficiency in:
R statistical programming language
Unix
Scripting languages such as Perl or Python
Working knowledge of:
Basic sequence analysis tools (BLAST, alignment, etc.)
Other statistical tools (Matlab, etc.)
Next generation sequence data analysis tools (BWA, samtools, GATK, etc.)
RNAseq analysis and visualization tools (Tuxedo Tools, Trinity, etc.)
Bioinformatics tools (Cufflinks, GenePattern, IGV, GENE-E)
Relational databases
General abilities required: Must be able to run traceable and reproducible analyses. Must have an aptitude for data display and interpretation. Must be able to multi-task, work independently and collaboratively, adapt to changing priorities, and work in face-paced environment. Strong verbal, written, and presentation communication skills are essential.
EOE/Minorities/Females/Protected Veterans/Disabilities
Additional Info:
[Click Here to Access the Original Job Post]
We are searching to fill an associate computational biologist position for the Malaria Genome Sequencing and Analysis group at the Broad Institute. The person filling this position will assist in performing bioinformatic analyses on genomic and transcriptomic data from infected blood samples. She or he will work collaboratively with other bioinformatic scientists as well as wet lab biologists to interpret data and make it accessible to a large interdisciplinary group. The scope of activities may range from generating analysis pipelines that will be used many times to carrying out one-off analyses to ask a specific question of a particular dataset. The broader goals of the work will be to develop differential genomic and transcriptomic diagnostic markers of malaria and other co-morbid infectious diseases affecting the developing world, to better understand the biology, evolution, and transmission of malaria parasites, and to determine how genomic diversity contributes to drug-resistance, immune evasion, and other etiologies in malaria.
CHARACTERISTIC DUTIES
Perform bioinformatic analyses to extract biological meaning from next-generation sequencing, genotyping and RNA-seq transcription data
Research and identify proper approaches for interrogating data using primary literature
Work collaboratively with wet lab scientists at the Broad as well as other institutions to make data accessible and interpretable
Learn, utilize, and extend existing tools and pipelines for data analysis within the group
Submit large datasets to public archives
Perform other duties as necessitated by the position or as assigned
QUALIFICATIONS
B.S. degree in computer science, bioinformatics, biological sciences, or related field required, M.S. degree strongly desired.
Proficiency in:
R statistical programming language
Unix
Scripting languages such as Perl or Python
Working knowledge of:
Basic sequence analysis tools (BLAST, alignment, etc.)
Other statistical tools (Matlab, etc.)
Next generation sequence data analysis tools (BWA, samtools, GATK, etc.)
RNAseq analysis and visualization tools (Tuxedo Tools, Trinity, etc.)
Bioinformatics tools (Cufflinks, GenePattern, IGV, GENE-E)
Relational databases
General abilities required: Must be able to run traceable and reproducible analyses. Must have an aptitude for data display and interpretation. Must be able to multi-task, work independently and collaboratively, adapt to changing priorities, and work in face-paced environment. Strong verbal, written, and presentation communication skills are essential.
EOE/Minorities/Females/Protected Veterans/Disabilities
| Job Information |
| Position Type: Computational Biologist |
| Reference (Job ID number): 1925 |
| Start Date: ASAP |
| Duration: Full Time |
| Status: open |
| Contact Information | ||
| The Broad Institute of MIT and Harvard https://www2.apply2jobs.com/BroadInstitute/ProfExt/index.cfm?fuseaction=mExternal.showJob&RID=1925&CurrentPage=1 | ||
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Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]