Job ID: 1700773
Job date: 2017-02-22
End Date:
Company : Bristol Myers Squibb’s Country : Role : Research Scientist
Job date: 2017-02-22
End Date:
Company : Bristol Myers Squibb’s Country : Role : Research Scientist
Job Description:
We are seeking a highly motivated bioinformatician with significant academic and/or industry experience to join our Integrated Science and Translational Bioinformatics Immuno-Oncology teams. The mandate of the Integrated Science group is to integrate, synthesize and analyze internal and external data that address defined translational questions of fundamental importance to the field of Immune-Oncology (IO) so to generate actionable scientific insights, hypotheses, and recommendations for stakeholders across the enterprise. The successful candidate will help execute this mandate through the strategic application of cutting edge bioinformatics approaches. The candidate will internally face and interact with scientists within Discovery, Biomarker Science, Translational Biology, Clinical Development, Medical Affairs and Commercial organizations and will externally face and interact with academic investigators globally as a major scientific collaborator. Responsibilities: Analysis of various –omic-scale data including RNA-Seq, Exome and Whole Genome Sequencing, single cell sequencing, and high throughput proteomics in order to nominate novel drug targets, enable patient enrichment strategies, understand mechanisms of resistance to IO therapies and prioritize combination therapies. Integration and mining of large scale external data sets (TCGA, 1KG, EXAC, Cosmic) to further our understanding of the relationship between tumor genetics, the tumor microenvironment, and response to therapies. Evaluate and analyze exploratory genomics data from clinical trials to understand drug mechanisms and patient response. Extract insights and generate hypotheses to be evaluated in future trials and to inform our discovery pipeline. Collaborate with bioinformaticians, statisticians, biologists, and clinicians to identify critical questions that can be addressed via computational approaches. Define and implement statistical/computational analysis plans. Collaborative Mindset: The ability to work across organizations to define and solve problems that will benefit the whole.Capable of establishing strong working relationships across the organization. Qualifications: -Ph.D. in bioinformatics, engineering, statistics, physics, molecular biology, genetics, or a similar discipline. -Five (5) or more year’s relevant experience in tumor biology, tumor immunology and/or drug discovery in an academic, pharma or biotech setting. -Proven track record designing, leading, and managing complex computational research projects. -Experience working in complex, matrixed organizations. -Strong background in -omic (DNA, RNA, epigenetic, proteomic) data analysis and biological interpretation. -Experience working with data from clinical trials is preferred. -Solid background in Oncology and Immuno-Oncology biology. -Ability to communicate effectively with biologists, biostatisticians computational and clinical scientists. -Proficiency using R and Bioconductor packages, at least one scripting language (Python, Perl), and SQL . -Experience working with Linux high performance compute clusters and cloud based computing platforms (Amazon EC2). -Fluency in NGS experiments and data analysis (e.g. GATK, Cufflinks, SAMtools, BAMtools etc.) is expected. -Working knowledge of commercial and publicly available biological databases including NCBI, Ensembl, ArrayExpress/GEO, SRA, TCGA, 1000 Genomes etc.). -Strong verbal and written communication skills.
Additional Info:
Bristol-Myers Squibb is an equal opportunity employer - M/F/Vet/Disability Not translated [Click Here to Access the Original Job Post]
We are seeking a highly motivated bioinformatician with significant academic and/or industry experience to join our Integrated Science and Translational Bioinformatics Immuno-Oncology teams. The mandate of the Integrated Science group is to integrate, synthesize and analyze internal and external data that address defined translational questions of fundamental importance to the field of Immune-Oncology (IO) so to generate actionable scientific insights, hypotheses, and recommendations for stakeholders across the enterprise. The successful candidate will help execute this mandate through the strategic application of cutting edge bioinformatics approaches. The candidate will internally face and interact with scientists within Discovery, Biomarker Science, Translational Biology, Clinical Development, Medical Affairs and Commercial organizations and will externally face and interact with academic investigators globally as a major scientific collaborator. Responsibilities: Analysis of various –omic-scale data including RNA-Seq, Exome and Whole Genome Sequencing, single cell sequencing, and high throughput proteomics in order to nominate novel drug targets, enable patient enrichment strategies, understand mechanisms of resistance to IO therapies and prioritize combination therapies. Integration and mining of large scale external data sets (TCGA, 1KG, EXAC, Cosmic) to further our understanding of the relationship between tumor genetics, the tumor microenvironment, and response to therapies. Evaluate and analyze exploratory genomics data from clinical trials to understand drug mechanisms and patient response. Extract insights and generate hypotheses to be evaluated in future trials and to inform our discovery pipeline. Collaborate with bioinformaticians, statisticians, biologists, and clinicians to identify critical questions that can be addressed via computational approaches. Define and implement statistical/computational analysis plans. Collaborative Mindset: The ability to work across organizations to define and solve problems that will benefit the whole.Capable of establishing strong working relationships across the organization. Qualifications: -Ph.D. in bioinformatics, engineering, statistics, physics, molecular biology, genetics, or a similar discipline. -Five (5) or more year’s relevant experience in tumor biology, tumor immunology and/or drug discovery in an academic, pharma or biotech setting. -Proven track record designing, leading, and managing complex computational research projects. -Experience working in complex, matrixed organizations. -Strong background in -omic (DNA, RNA, epigenetic, proteomic) data analysis and biological interpretation. -Experience working with data from clinical trials is preferred. -Solid background in Oncology and Immuno-Oncology biology. -Ability to communicate effectively with biologists, biostatisticians computational and clinical scientists. -Proficiency using R and Bioconductor packages, at least one scripting language (Python, Perl), and SQL . -Experience working with Linux high performance compute clusters and cloud based computing platforms (Amazon EC2). -Fluency in NGS experiments and data analysis (e.g. GATK, Cufflinks, SAMtools, BAMtools etc.) is expected. -Working knowledge of commercial and publicly available biological databases including NCBI, Ensembl, ArrayExpress/GEO, SRA, TCGA, 1000 Genomes etc.). -Strong verbal and written communication skills.
Requeriments :
Skills :
- Cancer biology
- genomic
- HPC
- Lunix/Unix
- Next Generation Sequencing
- Programing in Python
- Programming in PERL
- Programming in R
- RNA-seq
- SQL
Areas :
Additional Info:
Bristol-Myers Squibb is an equal opportunity employer - M/F/Vet/Disability Not translated [Click Here to Access the Original Job Post]