Job ID: 298334429
Job date: 2017-04-22
End Date:
Company : Juno Therapeutics Inc Country : Role : Other
Job date: 2017-04-22
End Date:
Company : Juno Therapeutics Inc Country : Role : Other
Job Description:
Excited about using data science to make a real difference in the lives of cancer patients? Juno Therapeutics Data Science group is seeking a highly motivated and talented computational biologist passionate about using and developing computational methods to analyze genomic data in the context of cancer immunotherapy. As a member of our Data Science team, you will play a key role in the development and implementation of new analysis pipelines for high-throughput sequencing data as well as driving thoughtful experimental designs, analyses and inferences throughout Juno’s CAR-T and TCR R&D programs to better understand cancer immunotherapy. We are looking for a talented person with extensive experience in NGS data analysis, proficiency in R and Python, experience in the application of machine learning methods, and a solid understanding of molecular biology. You will also help Juno scientists in other areas with data analyses and interact with investigators from partner institutions to address diverse and exciting scientific questions. We are deeply passionate about what we do here at Juno, because we know that our work has the power to save lives—if this inspires you as well, we’re excited to have you join us! Responsibilities of this position include but are not limited to: -Further the development Juno’s existing NGS data analysis pipelines currently used to process data from sequencing and phenotyping of the human immune repertoire. -Develop novel integrative analysis strategies for large “omic” data sets, including RNA-seq, ATAC-seq, immune sequencing, and single cell sequencing. -Assist in the development of automated data analysis pipelines for reproducible analyses. -Participate in experimental design and power analyses with a wide range of groups within Research. -Perform as a member of a multifunctional team within Research focused on leveraging NGS and statistical inference to improve our understanding and development of cancer immunotherapies. -Collaborate with internal scientists, clinicians and researchers in academia to develop research strategies applying NGS to address a wide variety of pathologies. -Present results of your analyses to individuals, in group meetings, and through external conferences and publications. Position Requirements: -PhD in bioinformatics, computational biology, genetics, statistics or equivalent experience; alternatively, a PhD in molecular biology, immunology, or cancer biology with a very strong publication record demonstrating bioinformatics expertise and the ability to perform high throughput data analyses. -Experience analyzing NGS sequencing data and familiarity with genomics data processing pipelines. -Strong background in statistical analysis of genomic/high-throughput sequencing data. -Experience in data analysis, interpretation, and effective visualization of large datasets. -Fluency in Unix Bash, R, and Python with an emphasis on NGS analysis. -Collaborative development skills using version control systems (e.g. Git). -Experience with common databases and genome browsers (e.g., Ensembl, IGV, UCSC). -Ability to work independently and as a member of a multifunctional analytical team in a fast-paced environment. -Strong organizational and interpersonal, verbal, and written communications skills. Additional Desired Skills & Experience (not Required): -Domain knowledge in immunology and cancer biology and relevant experimental techniques (e.g., flow cytometry, immune sequencing, RNA-seq, ATAC-seq). -Experience with single cell transcriptome sequencing analysis. -Experience with machine learning and proficiency with regularization and methods such as random forests, support vector machines, and regression. -Experience developing new algorithms for the analysis of large NGS datasets -Exposure to workflow management (e.g., Snakemake, Nextflow) tools for reproducible pipeline development. -Experience with notebook-based reproducible research tools e.g. Jupyter, R Markdown. -Experience in compiled programming languages. -Familiarity with Amazon EC2 and cloud-based scaleable computing. -Previous experience using or developing SQL databases.
Additional Info:
Juno Therapeutics is a clinical-stage company aiming to revolutionize medicine by redirecting the body’s immune system against cancer. We are developing novel cellular immunotherapies based on two distinct and complementary platforms – Chimeric Antigen Receptors (CARs) and T Cell Receptors (TCRs). The Receptor Discovery group within Juno’s Research department develops Next Generation Sequencing (NGS) that provide high-throughput characterization of the human immune system and its response to CAR and TCR treatments. In particular, our proprietary single-cell immune sequencing approach allows us to monitor VDJ gene usage in immune receptors while simultaneously characterizing cell surface phenotypes and gene expression signatures from thousands to millions of single cells in parallel. With this unique ability to generate high-throughput natively paired antibody and T cell receptor sequences, we enable accelerated discovery biomarkers for clinical research and diagnostic applications as well as novel TCRs and antibodies for new therapeutic targets. Our headquarters, situated in the bustling South Lake Union district of Seattle, sits among some of the most visible organizations in the world. Seattle offers award-winning restaurants, a vibrant, hip music scene and spectacular views of water and mountains. Within an hour’s drive of Seattle, you can be fishing, skiing, hiking or tasting world-class Washington wines.[Click Here to Access the Original Job Post]
Excited about using data science to make a real difference in the lives of cancer patients? Juno Therapeutics Data Science group is seeking a highly motivated and talented computational biologist passionate about using and developing computational methods to analyze genomic data in the context of cancer immunotherapy. As a member of our Data Science team, you will play a key role in the development and implementation of new analysis pipelines for high-throughput sequencing data as well as driving thoughtful experimental designs, analyses and inferences throughout Juno’s CAR-T and TCR R&D programs to better understand cancer immunotherapy. We are looking for a talented person with extensive experience in NGS data analysis, proficiency in R and Python, experience in the application of machine learning methods, and a solid understanding of molecular biology. You will also help Juno scientists in other areas with data analyses and interact with investigators from partner institutions to address diverse and exciting scientific questions. We are deeply passionate about what we do here at Juno, because we know that our work has the power to save lives—if this inspires you as well, we’re excited to have you join us! Responsibilities of this position include but are not limited to: -Further the development Juno’s existing NGS data analysis pipelines currently used to process data from sequencing and phenotyping of the human immune repertoire. -Develop novel integrative analysis strategies for large “omic” data sets, including RNA-seq, ATAC-seq, immune sequencing, and single cell sequencing. -Assist in the development of automated data analysis pipelines for reproducible analyses. -Participate in experimental design and power analyses with a wide range of groups within Research. -Perform as a member of a multifunctional team within Research focused on leveraging NGS and statistical inference to improve our understanding and development of cancer immunotherapies. -Collaborate with internal scientists, clinicians and researchers in academia to develop research strategies applying NGS to address a wide variety of pathologies. -Present results of your analyses to individuals, in group meetings, and through external conferences and publications. Position Requirements: -PhD in bioinformatics, computational biology, genetics, statistics or equivalent experience; alternatively, a PhD in molecular biology, immunology, or cancer biology with a very strong publication record demonstrating bioinformatics expertise and the ability to perform high throughput data analyses. -Experience analyzing NGS sequencing data and familiarity with genomics data processing pipelines. -Strong background in statistical analysis of genomic/high-throughput sequencing data. -Experience in data analysis, interpretation, and effective visualization of large datasets. -Fluency in Unix Bash, R, and Python with an emphasis on NGS analysis. -Collaborative development skills using version control systems (e.g. Git). -Experience with common databases and genome browsers (e.g., Ensembl, IGV, UCSC). -Ability to work independently and as a member of a multifunctional analytical team in a fast-paced environment. -Strong organizational and interpersonal, verbal, and written communications skills. Additional Desired Skills & Experience (not Required): -Domain knowledge in immunology and cancer biology and relevant experimental techniques (e.g., flow cytometry, immune sequencing, RNA-seq, ATAC-seq). -Experience with single cell transcriptome sequencing analysis. -Experience with machine learning and proficiency with regularization and methods such as random forests, support vector machines, and regression. -Experience developing new algorithms for the analysis of large NGS datasets -Exposure to workflow management (e.g., Snakemake, Nextflow) tools for reproducible pipeline development. -Experience with notebook-based reproducible research tools e.g. Jupyter, R Markdown. -Experience in compiled programming languages. -Familiarity with Amazon EC2 and cloud-based scaleable computing. -Previous experience using or developing SQL databases.
Requeriments :
Skills :
- Bioinformatics Databases
- Cancer biology
- immunology
- Machine Learning
- molecular biology
- Next Generation Sequencing
- Programing in Python
- Programming in R
- Version Control
Areas :
Additional Info:
Juno Therapeutics is a clinical-stage company aiming to revolutionize medicine by redirecting the body’s immune system against cancer. We are developing novel cellular immunotherapies based on two distinct and complementary platforms – Chimeric Antigen Receptors (CARs) and T Cell Receptors (TCRs). The Receptor Discovery group within Juno’s Research department develops Next Generation Sequencing (NGS) that provide high-throughput characterization of the human immune system and its response to CAR and TCR treatments. In particular, our proprietary single-cell immune sequencing approach allows us to monitor VDJ gene usage in immune receptors while simultaneously characterizing cell surface phenotypes and gene expression signatures from thousands to millions of single cells in parallel. With this unique ability to generate high-throughput natively paired antibody and T cell receptor sequences, we enable accelerated discovery biomarkers for clinical research and diagnostic applications as well as novel TCRs and antibodies for new therapeutic targets. Our headquarters, situated in the bustling South Lake Union district of Seattle, sits among some of the most visible organizations in the world. Seattle offers award-winning restaurants, a vibrant, hip music scene and spectacular views of water and mountains. Within an hour’s drive of Seattle, you can be fishing, skiing, hiking or tasting world-class Washington wines.[Click Here to Access the Original Job Post]