Job Description:
The Broad Institute of MIT & Harvard, a world leader in genetic research, is looking for exceptional candidates to join the Cardiometabolic Disease Program. The successful candidates will join an interdisciplinary team of computational biologists, bioinformatics analysts, laboratory scientists and clinicians who are working together to identify new genes that lead to heart disease, and to discover new therapeutics. The current project will focus on myocardial infarction and atrial fibrillation under the direction of Drs. Kathiresan and Ellinor.
The candidate will join the Cardiometabolic Disease Program to develop computational tools and perform data analysis for projects related to heart disease. Projects will include computational and statistical analysis of sequencing studies, contributing technically and logistically with existing collaborators to international consortia, statistical methods development and analysis of cardiovascular sequence data, and the integration of genetic variation and gene expression data into pathway network analysis. Additionally, the individual will be responsible for organizing, manipulating, and integrating various datasets.
Additional Key Responsibilities:
Integrating data across formats and sources by robust synchronization with existing datasets and databases
Under general direction, developing innovative analytical methods to enable collaborators to interpret and design follow-up research
Providing support to chemists and biological researchers to specify, develop, and implement data-analyses
Lead and contribute to manuscript preparation as well as internal and external project-team reports
Actively participating in project team and group meetings
Requirements:
B.S. in computer science, mathematics, statistics, bioinformatics, or other quantitative discipline with 3+ years of experience required, or M.S. with 1+ year of experience required.
Experience, with biological datasets and experience with bioinformatics, computational biology, machine learning, and statistics
Relevant experience or formal training in computational biology and statistics
Must have demonstrated proficiency with several of the following technologies: Perl, Python, Java, Matlab, R, C, C++, Unix
Familiarity with next-generation sequence data analysis tools, ideally for Illumina; in particular, experience with human or mammalian genome sequence data is a plus
Familiarity with a range of sequence alignment tools.
Thorough understanding of statistics preferred
Good understanding and practical experience in data management tools and applications
Demonstrated capability as highly organized, a creative problem-solver, detail-oriented, self-motivated, and able to work independently as well as within cross-functional teams
Ability to adapt to rapidly changing and high-demand environments
Exceptional communication skills (oral and written) as demonstrated by publications and presentations
Must have demonstrated experience designing computational methods and tools, including prior experience with algorithms relevant to computational biology, and skill and experience with statistical analysis is strongly preferred
EOE/Minorities/Females/Protected Veterans/Disabilities
Additional Info:
[Click Here to Access the Original Job Post]
The Broad Institute of MIT & Harvard, a world leader in genetic research, is looking for exceptional candidates to join the Cardiometabolic Disease Program. The successful candidates will join an interdisciplinary team of computational biologists, bioinformatics analysts, laboratory scientists and clinicians who are working together to identify new genes that lead to heart disease, and to discover new therapeutics. The current project will focus on myocardial infarction and atrial fibrillation under the direction of Drs. Kathiresan and Ellinor.
The candidate will join the Cardiometabolic Disease Program to develop computational tools and perform data analysis for projects related to heart disease. Projects will include computational and statistical analysis of sequencing studies, contributing technically and logistically with existing collaborators to international consortia, statistical methods development and analysis of cardiovascular sequence data, and the integration of genetic variation and gene expression data into pathway network analysis. Additionally, the individual will be responsible for organizing, manipulating, and integrating various datasets.
Additional Key Responsibilities:
Integrating data across formats and sources by robust synchronization with existing datasets and databases
Under general direction, developing innovative analytical methods to enable collaborators to interpret and design follow-up research
Providing support to chemists and biological researchers to specify, develop, and implement data-analyses
Lead and contribute to manuscript preparation as well as internal and external project-team reports
Actively participating in project team and group meetings
Requirements:
B.S. in computer science, mathematics, statistics, bioinformatics, or other quantitative discipline with 3+ years of experience required, or M.S. with 1+ year of experience required.
Experience, with biological datasets and experience with bioinformatics, computational biology, machine learning, and statistics
Relevant experience or formal training in computational biology and statistics
Must have demonstrated proficiency with several of the following technologies: Perl, Python, Java, Matlab, R, C, C++, Unix
Familiarity with next-generation sequence data analysis tools, ideally for Illumina; in particular, experience with human or mammalian genome sequence data is a plus
Familiarity with a range of sequence alignment tools.
Thorough understanding of statistics preferred
Good understanding and practical experience in data management tools and applications
Demonstrated capability as highly organized, a creative problem-solver, detail-oriented, self-motivated, and able to work independently as well as within cross-functional teams
Ability to adapt to rapidly changing and high-demand environments
Exceptional communication skills (oral and written) as demonstrated by publications and presentations
Must have demonstrated experience designing computational methods and tools, including prior experience with algorithms relevant to computational biology, and skill and experience with statistical analysis is strongly preferred
EOE/Minorities/Females/Protected Veterans/Disabilities
Requeriments :
Skills :
- Bioinformatics
- Biology
- Computational Biology
- Lunix/Unix
- Machine Learning
- Next Generation Sequencing
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in Java
- Programming in Matlab
- Programming in PERL
- Programming in R
- Statistics
Areas :
Additional Info:
[Click Here to Access the Original Job Post]