Job Description:
This role will lead the Research Quantitative Sciences (QS) group which is comprised of Data Science, Bioinformatics, Translational Statistics, and Computational Biology experts working on a variety of projects across Juno. The incumbent will provide strategic and technical oversight of staff driving data collection, analysis, management, and mining of various high-throughput data sets that include (but are not limited to) next generation sequencing (NGS), flow cytometry, and pharmacokinetics. The Research QS group is a solution oriented, highly capable team of analytical experts with strong scientific backgrounds in NGS and large-scale integrative analyses, and the new Research QS leader will be responsible for enabling and supporting innovative approaches for quantifying, interpreting, and applying information from these complex data streams. Job Description: • Lead a multidisciplinary team to identify new anti-tumor targets, TCRs, antibodies, genes, and molecular sequences to aid in our development and understanding of CAR T and TCR biology in various oncologic disease settings • Design new algorithms, technologies, pipelines, and methodologies for analyzing and integrating single-cell data and other complex, large biological data sets with clinical data for novel inferences and predictive analytics regarding cancer immunotherapy • Develop an overarching Research QS strategy and implementation plan for ongoing R&D informatics and data science needs • Collaborate with key stakeholders in groups across Juno that include R&D, Tech Ops, and Tech R&D as well as internal stakeholders in Clinical QS and CMC QS • Create and present strategic plans, progress reports, and technical summaries for internal and external stakeholders • Lead recruitment and supervision of new staff • Manage vendor and academic founder and partner relationships Qualifications: • PhD in Data Science with a Genomics focus, Bioinformatics, Computational Biology, or related discipline with a very strong publication record demonstrating bioinformatics expertise and the ability to perform high throughput data analyses • 5 – 10 years postgraduate work engineering, evaluating, and applying software tools and analysis of high-content, multi-modal life sciences data • 5+ years in a results-oriented commercial life science R&D environment with a strong record of goal oriented project triage, oversight and delivery. • 2+ years building and managing R&D and/or informatics support teams, including working across multiple departments and disciplines. Fluency in programming and use of scripting languages such as R, Python, Perl, C/C++, Java, and Unix Bash with an emphasis on NGS analysis • Exposure to workflow management (e.g., Snakemake, Nextflow) tools for reproducible pipeline development • Experience working with bulk and single cell next-generation data analyses (RNA-seq, ATAC-seq, immune sequencing) and familiarity with genomics data processing pipelines • Ability to design novel statistical algorithms and interpret data from large biological datasets with experience in machine learning methodologies • Experience with designing, building and using database and analysis tools in the context of DNA and protein sequences, vector constructs, cell lines, image analysis, cellular pathways, and molecular ensembles • Experience in oncology, manufacturing and/or clinical testing of cancer therapeutics • Excellent verbal and written communication skills, with the ability to produce effective graphical representations of large datasets in a highly collaborative and dynamic environment
Additional Info:
Juno Therapeutics is a clinical-stage company developing novel cellular immunotherapies based on two distinct and complementary platforms – Chimeric Antigen Receptors (CARs) and T Cell Receptors (TCRs). Our goal is to revolutionize medicine by re-engaging the body’s immune system to fight cancer. 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. THINK BIG. BE BRAVE. DELIVER.[Click Here to Access the Original Job Post]
This role will lead the Research Quantitative Sciences (QS) group which is comprised of Data Science, Bioinformatics, Translational Statistics, and Computational Biology experts working on a variety of projects across Juno. The incumbent will provide strategic and technical oversight of staff driving data collection, analysis, management, and mining of various high-throughput data sets that include (but are not limited to) next generation sequencing (NGS), flow cytometry, and pharmacokinetics. The Research QS group is a solution oriented, highly capable team of analytical experts with strong scientific backgrounds in NGS and large-scale integrative analyses, and the new Research QS leader will be responsible for enabling and supporting innovative approaches for quantifying, interpreting, and applying information from these complex data streams. Job Description: • Lead a multidisciplinary team to identify new anti-tumor targets, TCRs, antibodies, genes, and molecular sequences to aid in our development and understanding of CAR T and TCR biology in various oncologic disease settings • Design new algorithms, technologies, pipelines, and methodologies for analyzing and integrating single-cell data and other complex, large biological data sets with clinical data for novel inferences and predictive analytics regarding cancer immunotherapy • Develop an overarching Research QS strategy and implementation plan for ongoing R&D informatics and data science needs • Collaborate with key stakeholders in groups across Juno that include R&D, Tech Ops, and Tech R&D as well as internal stakeholders in Clinical QS and CMC QS • Create and present strategic plans, progress reports, and technical summaries for internal and external stakeholders • Lead recruitment and supervision of new staff • Manage vendor and academic founder and partner relationships Qualifications: • PhD in Data Science with a Genomics focus, Bioinformatics, Computational Biology, or related discipline with a very strong publication record demonstrating bioinformatics expertise and the ability to perform high throughput data analyses • 5 – 10 years postgraduate work engineering, evaluating, and applying software tools and analysis of high-content, multi-modal life sciences data • 5+ years in a results-oriented commercial life science R&D environment with a strong record of goal oriented project triage, oversight and delivery. • 2+ years building and managing R&D and/or informatics support teams, including working across multiple departments and disciplines. Fluency in programming and use of scripting languages such as R, Python, Perl, C/C++, Java, and Unix Bash with an emphasis on NGS analysis • Exposure to workflow management (e.g., Snakemake, Nextflow) tools for reproducible pipeline development • Experience working with bulk and single cell next-generation data analyses (RNA-seq, ATAC-seq, immune sequencing) and familiarity with genomics data processing pipelines • Ability to design novel statistical algorithms and interpret data from large biological datasets with experience in machine learning methodologies • Experience with designing, building and using database and analysis tools in the context of DNA and protein sequences, vector constructs, cell lines, image analysis, cellular pathways, and molecular ensembles • Experience in oncology, manufacturing and/or clinical testing of cancer therapeutics • Excellent verbal and written communication skills, with the ability to produce effective graphical representations of large datasets in a highly collaborative and dynamic environment
Requeriments :
Skills :
- Database design
- genomic
- Lunix/Unix
- Machine Learning
- Next Generation Sequencing
- Programing in C
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in Java
- Programming in PERL
- Programming in R
- RNA-seq
- Statistics
Additional Info:
Juno Therapeutics is a clinical-stage company developing novel cellular immunotherapies based on two distinct and complementary platforms – Chimeric Antigen Receptors (CARs) and T Cell Receptors (TCRs). Our goal is to revolutionize medicine by re-engaging the body’s immune system to fight cancer. 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. THINK BIG. BE BRAVE. DELIVER.[Click Here to Access the Original Job Post]