Job ID: 6153
Job date: 2017-01-30
End Date:
Company : The Jackson Laboratory Country : Role : Research Scientist
Job date: 2017-01-30
End Date:
Company : The Jackson Laboratory Country : Role : Research Scientist
Job Description:
Dr. Sheng Li’s lab at JAX-GM is seeking exceptional scientists who are interested in studying cancer epigenomics using large-scale genomics datasets. The Li Lab focuses on combining computational approaches and high throughput datasets to uncover novel mechanisms that contribute to drug resistance and cancer evolution. For additional information, visit the Li Lab online. This is a senior position within the Li Lab, and candidates with substantial prior experience are encouraged to apply. JAX-GM offers a collegial, collaborative, interdisciplinary, and diverse research environment. We will provide a competitive salary commensurate with qualifications. KEY RESPONSIBILITIES: -Develop computational, bioinformatics, and statistical approaches to address the challenges in cancer genome, epigenome, chromatin, and transcriptome data integration. -Analyze bulk and single-cell sequencing data sets from clinical studies to deconvolution cell populations and associated cellular phenotypes. -Work to identify molecular patterns and predictive markers for diagnosis and treatment. MINIMUM QUALIFICATIONS -PhD in Computational Biology, Biostatistics, Bioinformatics, or a related field with knowledge of statistics and a passion to work in an interdisciplinary field of computational biology and cancer research. -A strong computational background, proficiency in at least one programming language (Perl, Python, C++, etc.) and one data analysis software program (R, MATLAB, etc.) -Research experience in next generation sequencing data analysis and utilization of publicly available bioinformatics resources. -Excellent communication skills and fully fluent in both spoken and written English. -A passion for solving cutting edge research problems of computational biology. The following optional qualifications are considered advantageous: -Knowledge of (and/or work experience with) machine learning methods. -Experience with large-scale data analysis using software pipelines in an HPC environment. -Experience in software development.
Additional Info:
About JAX-GM: Comprising 183,000 square feet of highly advanced, state-of-the-art laboratories and supporting facilities, the brand new JAX-GM conveniently sits midway between NYC and Boston in the heart of Connecticut. JAX-GM is part of an exciting $1.1 billion venture between the state of Connecticut and The Jackson Laboratory, an internationally-recognized research and educational institution with unparalleled genomic resources and research support services. JAX began in 1929 with a small group of scientists dedicated to the emerging field of genetics. We now have over 1,700 scientists, technicians, and support staff, including over 50 Principle Investigators in five primary disease areas: cancer, reproductive biology, immunology, metabolic processes and neuroscience. Our fundamental contributions to biomedical research include cancer genetics and establishing the mouse as the premier research animal model. -Uncover more of our historic milestones, including the 26 Nobel prizes associated with our research, resources, and education -Read our latest news & insights for a glimpse at how we’re impacting the future of biomedicine -Follow the progress we’re making on our quest to improve human health via our recent research highlights EEO: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status. Job Location: Farmington, Connecticut, United States Position Type: Full-Time/Regular[Click Here to Access the Original Job Post]
Dr. Sheng Li’s lab at JAX-GM is seeking exceptional scientists who are interested in studying cancer epigenomics using large-scale genomics datasets. The Li Lab focuses on combining computational approaches and high throughput datasets to uncover novel mechanisms that contribute to drug resistance and cancer evolution. For additional information, visit the Li Lab online. This is a senior position within the Li Lab, and candidates with substantial prior experience are encouraged to apply. JAX-GM offers a collegial, collaborative, interdisciplinary, and diverse research environment. We will provide a competitive salary commensurate with qualifications. KEY RESPONSIBILITIES: -Develop computational, bioinformatics, and statistical approaches to address the challenges in cancer genome, epigenome, chromatin, and transcriptome data integration. -Analyze bulk and single-cell sequencing data sets from clinical studies to deconvolution cell populations and associated cellular phenotypes. -Work to identify molecular patterns and predictive markers for diagnosis and treatment. MINIMUM QUALIFICATIONS -PhD in Computational Biology, Biostatistics, Bioinformatics, or a related field with knowledge of statistics and a passion to work in an interdisciplinary field of computational biology and cancer research. -A strong computational background, proficiency in at least one programming language (Perl, Python, C++, etc.) and one data analysis software program (R, MATLAB, etc.) -Research experience in next generation sequencing data analysis and utilization of publicly available bioinformatics resources. -Excellent communication skills and fully fluent in both spoken and written English. -A passion for solving cutting edge research problems of computational biology. The following optional qualifications are considered advantageous: -Knowledge of (and/or work experience with) machine learning methods. -Experience with large-scale data analysis using software pipelines in an HPC environment. -Experience in software development.
Requeriments :
Skills :
- Bioinformatics
- Cancer biology
- Computational Biology
- HPC
- Machine Learning
- Next Generation Sequencing
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in Matlab
- Programming in PERL
- Programming in R
- Software Design
- Statistics
Areas :
Additional Info:
About JAX-GM: Comprising 183,000 square feet of highly advanced, state-of-the-art laboratories and supporting facilities, the brand new JAX-GM conveniently sits midway between NYC and Boston in the heart of Connecticut. JAX-GM is part of an exciting $1.1 billion venture between the state of Connecticut and The Jackson Laboratory, an internationally-recognized research and educational institution with unparalleled genomic resources and research support services. JAX began in 1929 with a small group of scientists dedicated to the emerging field of genetics. We now have over 1,700 scientists, technicians, and support staff, including over 50 Principle Investigators in five primary disease areas: cancer, reproductive biology, immunology, metabolic processes and neuroscience. Our fundamental contributions to biomedical research include cancer genetics and establishing the mouse as the premier research animal model. -Uncover more of our historic milestones, including the 26 Nobel prizes associated with our research, resources, and education -Read our latest news & insights for a glimpse at how we’re impacting the future of biomedicine -Follow the progress we’re making on our quest to improve human health via our recent research highlights EEO: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status. Job Location: Farmington, Connecticut, United States Position Type: Full-Time/Regular[Click Here to Access the Original Job Post]