Job ID: 233083863
Job date: 2016-12-14
End Date:
Company : Broad Institute Country : Role : Research Scientist
Job date: 2016-12-14
End Date:
Company : Broad Institute Country : Role : Research Scientist
Job Description:
The Broad Institute of MIT & Harvard, a world leader in genetic research, is looking for exceptional candidates to join the Cardiovascular Disease Initiative. 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 Cardiovascular Disease Initiative to develop computational tools and perform data analysis. The data analysis will involve genotyping and genome sequencing data for large-scale projects related to heart disease. The responsibilities will include preprocessing and quality control of the data, as well as statistical analysis and statistical methods development of next generation sequencing data. The individual will contribute technically and logistically to collaborations within international consortia. Additionally, the individual will be responsible for integrating genetic variation data and gene expression data into pathway network analyses. Additional Key Responsibilities: Organizing, manipulating and integrating new datasets across different formats and robust synchronization with existing datasets and databases. Under general direction, developing innovative analytical methods to enable collaborators to interpret results and design follow-up research. Providing support to chemists and biological researchers to develop and implement data-analyses. Lead and contribute to manuscript preparation as well as internal and external project-team reports. Actively participate in projects team meetings. Ph.D. in computer science, mathematics, statistics, bioinformatics, or other quantitative discipline required. 1+ years experience, with biological datasets. Relevant experience or formal training in computational biology, bioinformatics, machine learning or statistics. Must have demonstrated proficiency with several of the following technologies: R, Unix, Perl, Python, Java, Matlab, C, C++. 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. Must have demonstrated experience designing computational methods and tools, including prior experience with algorithms relevant to computational biology. Skill and experience with statistical analysis is strongly preferred. 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; experience working in an interdisciplinary team with laboratory scientists and clinicians is a plus. Ability to adapt to rapidly changing and high-demand environments. Exceptional communication skills (oral and written) as demonstrated by publications and presentations.
Additional Info:
The Broad Institute brings together a diverse group of individuals from across its partner institutions — undergraduate and graduate students, postdoctoral fellows, professional scientists, administrative professionals, and academic faculty. The culture and environment at the Broad is designed to encourage creativity and to engage all participants, regardless of role or seniority, in the mission of the Institute. Within this setting, researchers are empowered — both intellectually and technically — to confront even the most difficult biomedical challenges. The Institute’s organization is unique among biomedical research institutions. It encompasses three types of organizational units: core member laboratories, programs and platforms. Scientists within these units work closely together — and with other collaborators around the world — to tackle critical problems in human biology and disease.[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 Cardiovascular Disease Initiative. 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 Cardiovascular Disease Initiative to develop computational tools and perform data analysis. The data analysis will involve genotyping and genome sequencing data for large-scale projects related to heart disease. The responsibilities will include preprocessing and quality control of the data, as well as statistical analysis and statistical methods development of next generation sequencing data. The individual will contribute technically and logistically to collaborations within international consortia. Additionally, the individual will be responsible for integrating genetic variation data and gene expression data into pathway network analyses. Additional Key Responsibilities: Organizing, manipulating and integrating new datasets across different formats and robust synchronization with existing datasets and databases. Under general direction, developing innovative analytical methods to enable collaborators to interpret results and design follow-up research. Providing support to chemists and biological researchers to develop and implement data-analyses. Lead and contribute to manuscript preparation as well as internal and external project-team reports. Actively participate in projects team meetings. Ph.D. in computer science, mathematics, statistics, bioinformatics, or other quantitative discipline required. 1+ years experience, with biological datasets. Relevant experience or formal training in computational biology, bioinformatics, machine learning or statistics. Must have demonstrated proficiency with several of the following technologies: R, Unix, Perl, Python, Java, Matlab, C, C++. 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. Must have demonstrated experience designing computational methods and tools, including prior experience with algorithms relevant to computational biology. Skill and experience with statistical analysis is strongly preferred. 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; experience working in an interdisciplinary team with laboratory scientists and clinicians is a plus. Ability to adapt to rapidly changing and high-demand environments. Exceptional communication skills (oral and written) as demonstrated by publications and presentations.
Requeriments :
Skills :
- Bioinformatics
- Computational Biology
- genomic
- Lunix/Unix
- Machine Learning
- Next Generation Sequencing
- Programing in C++
- Programing in Python
- Programming in Java
- Programming in Matlab
- Programming in PERL
- Programming in R
- Statistics
Areas :
Additional Info:
The Broad Institute brings together a diverse group of individuals from across its partner institutions — undergraduate and graduate students, postdoctoral fellows, professional scientists, administrative professionals, and academic faculty. The culture and environment at the Broad is designed to encourage creativity and to engage all participants, regardless of role or seniority, in the mission of the Institute. Within this setting, researchers are empowered — both intellectually and technically — to confront even the most difficult biomedical challenges. The Institute’s organization is unique among biomedical research institutions. It encompasses three types of organizational units: core member laboratories, programs and platforms. Scientists within these units work closely together — and with other collaborators around the world — to tackle critical problems in human biology and disease.[Click Here to Access the Original Job Post]