Job ID: 251470245
Job date: 2017-05-04
End Date:
Company : The Jackson Laboratory Country : Role : Research Scientist
Job date: 2017-05-04
End Date:
Company : The Jackson Laboratory Country : Role : Research Scientist
Job Description:
JAX-GM is seeking an exceptionally talented and highly motivated Computational Scientist to lead the research efforts central to the success of its computational sciences department. The Computational Sciences department works collaboratively with faculty at The Jackson Laboratory to understand the biology of diseases like cancer, diabetes and Alzheimer’s. The successful candidate will be responsible for leading a variety of computational research projects to understand the biology of diseases through large-scale genomic data integration and analysis, algorithm comparison and benchmarking, and machine learning. The successful candidate will thrive in a proactive, can-do culture and enjoy working in a small, cross-disciplinary team as well as collaborating with other computational scientists and software developers at JAX. KEY RESPONSIBILITIES -Lead efforts in the analysis of large public datasets and databases relevant to cancer genomics and immuno-oncology, such as TCGA, ICGC, ENCODE and GTEx. -Leverage internal and public cancer genomic and clinical data to support decisions on clinical indications and target populations. -Direct the development of new tools and algorithms for integrative analysis of DNA-seq, RNA-seq, and whole exome sequencing datasets for the development of biomarkers. MINIMUM QUALIFICATIONS: -PhD in Cancer Genomics, Computational Biology or Bioinformatics is preferred. PhD in other fields combined with postdoctoral or work experience in the field of computational biology will be considered. -Deep understanding of machine learning algorithms including deep learning methods. -Experience in image and video processing will be a plus. -Technical expertise in NGS data processing and analysis, including extensive hands-on experience with whole exome and RNA sequencing. -Advanced programming expertise in Python and R. -Experience with modern techniques in data science and machine learning, such as feature engineering, cross-validation, clustering and PCA, and supervised learning. -Experience contributing to scientific software development efforts to deliver pipelines, tools, and data analyses. -Experience working in a cloud computing environment, Docker, Luigi, pandas, and/or Spark will be a plus. -Experience in grant writing will be a plus.
Additional Info:
About The Jackson Laboratory for Genomic Medicine: Comprising 183,000 square feet of highly advanced, state-of-the-art laboratories and supporting facilities, JAX-GM is conveniently located midway between NYC and Boston, in the heart of Connecticut. JAX-GM is part of an exciting, internationally-recognized research and educational institution with unparalleled genomic resources and research support services. [Click Here to Access the Original Job Post]
JAX-GM is seeking an exceptionally talented and highly motivated Computational Scientist to lead the research efforts central to the success of its computational sciences department. The Computational Sciences department works collaboratively with faculty at The Jackson Laboratory to understand the biology of diseases like cancer, diabetes and Alzheimer’s. The successful candidate will be responsible for leading a variety of computational research projects to understand the biology of diseases through large-scale genomic data integration and analysis, algorithm comparison and benchmarking, and machine learning. The successful candidate will thrive in a proactive, can-do culture and enjoy working in a small, cross-disciplinary team as well as collaborating with other computational scientists and software developers at JAX. KEY RESPONSIBILITIES -Lead efforts in the analysis of large public datasets and databases relevant to cancer genomics and immuno-oncology, such as TCGA, ICGC, ENCODE and GTEx. -Leverage internal and public cancer genomic and clinical data to support decisions on clinical indications and target populations. -Direct the development of new tools and algorithms for integrative analysis of DNA-seq, RNA-seq, and whole exome sequencing datasets for the development of biomarkers. MINIMUM QUALIFICATIONS: -PhD in Cancer Genomics, Computational Biology or Bioinformatics is preferred. PhD in other fields combined with postdoctoral or work experience in the field of computational biology will be considered. -Deep understanding of machine learning algorithms including deep learning methods. -Experience in image and video processing will be a plus. -Technical expertise in NGS data processing and analysis, including extensive hands-on experience with whole exome and RNA sequencing. -Advanced programming expertise in Python and R. -Experience with modern techniques in data science and machine learning, such as feature engineering, cross-validation, clustering and PCA, and supervised learning. -Experience contributing to scientific software development efforts to deliver pipelines, tools, and data analyses. -Experience working in a cloud computing environment, Docker, Luigi, pandas, and/or Spark will be a plus. -Experience in grant writing will be a plus.
Requeriments :
Skills :
- Cloud Computing
- DNA sequencing
- Machine Learning
- Next Generation Sequencing
- Programing in Python
- Programming in R
- RNA-seq
Areas :
Additional Info:
About The Jackson Laboratory for Genomic Medicine: Comprising 183,000 square feet of highly advanced, state-of-the-art laboratories and supporting facilities, JAX-GM is conveniently located midway between NYC and Boston, in the heart of Connecticut. JAX-GM is part of an exciting, internationally-recognized research and educational institution with unparalleled genomic resources and research support services. [Click Here to Access the Original Job Post]