Job Description:
The Associate Director, Research – Cancer Genomics and Bioinformatics will work in collaboration with research colleagues to apply and implement approaches to understand the immune context of cancer and to translate that into new immuno-oncology therapies and biomarkers and help to define patient groups benefiting from these therapies.
Responsibilities: Conduct analysis of genomics and innovate iterative processes to characterize genomic and immunologic data from internal and external clinical and pre-clinical cancer genomics data sources including literature and analyses of patient derived specimens. Define the immune context of this data by the analysis of immune repertoires. Provide interpretation in support of Advaxis immuno-oncology portfolio, propose improvements of immunotherapy vectors, patient subgroup identification, and generate hypotheses relating to potential therapeutic applications for further investigation. Present results and provide scientific reports as needed or requested by the project teams as a component of project reviews, milestones, governance and external interactions related to product pipeline. Develop bioinformatics data acquisition and analysis strategy for Advaxis. Provide regular input to the Research team around the acquisition and sharing of information regarding specialized biomedical databases, innovative computational methods and advances in cancer genomics. Lead Advaxis bioinformatics in external collaborations with both academic centers and commercial companies. Provide analysis or related support as needed in context of such collaborations. Facilitate bringing in data / knowhow or learning into the broader organization.
Qualifications: EXPERIENCE:
Postdoctoral training in related areas with expertise in cancer genomics research and discovery, computational methods, tools and databases utilized in genomic and genetic data analysis. Project experience in biomarker discovery, correlating genomic/genetics data with clinical and biochemical phenotypes. Determination of tumor driver pathway aberrations involving metabolic pathways. Proven ability to provide testable hypothesis to project teams based on systematic analysis of data from pre-clinical and clinical studies. Expertise in biological databases (e.g. TCGA, ICGC, COSMIC etc.) and use for translational or basic research. Experience with publicly and commercially available bioinformatics pathway/network analysis tools, genomics and genetics databases. Experience in applying computational systems biology or integrative analysis approaches to facilitate interpretation and hypothesis generation from results of genetics, genomics and epigenetics studies, preferably in a cross functional setting. Hands-on experience of analyzing data generated using one or more of the following: a) Microarrays -- Expression / Genotyping, b) Next Generation Sequencing platforms, c) Flow cytometry with emphasis on immunophenotyping, d) Proteomics, e) site-directed mutagenesis. Experience to include pathway level data analysis and interpretation. Familiarity with one or more genomics platforms from vendors such as Illumina, Complete Genomics, Affymetrix etc. around applications such as WGS, Exome Capture-Seq, RNA-Seq and ChIP-Seq , Microarray based Expression, micro RNA, DNA Methylation and Genotyping. Good bioinformatics programming skills in scripting or programming languages such as R, Python, Perl, C/C++ etc. and related bioinformatics packages.
EDUCATION:
A minimum of a Ph.D. degree in bioinformatics, immunology, computational or statistical sciences or related field with research in one or more aspects of cancer immuno-biology
Additional Info:
[Click Here to Access the Original Job Post]
The Associate Director, Research – Cancer Genomics and Bioinformatics will work in collaboration with research colleagues to apply and implement approaches to understand the immune context of cancer and to translate that into new immuno-oncology therapies and biomarkers and help to define patient groups benefiting from these therapies.
Responsibilities: Conduct analysis of genomics and innovate iterative processes to characterize genomic and immunologic data from internal and external clinical and pre-clinical cancer genomics data sources including literature and analyses of patient derived specimens. Define the immune context of this data by the analysis of immune repertoires. Provide interpretation in support of Advaxis immuno-oncology portfolio, propose improvements of immunotherapy vectors, patient subgroup identification, and generate hypotheses relating to potential therapeutic applications for further investigation. Present results and provide scientific reports as needed or requested by the project teams as a component of project reviews, milestones, governance and external interactions related to product pipeline. Develop bioinformatics data acquisition and analysis strategy for Advaxis. Provide regular input to the Research team around the acquisition and sharing of information regarding specialized biomedical databases, innovative computational methods and advances in cancer genomics. Lead Advaxis bioinformatics in external collaborations with both academic centers and commercial companies. Provide analysis or related support as needed in context of such collaborations. Facilitate bringing in data / knowhow or learning into the broader organization.
Qualifications: EXPERIENCE:
Postdoctoral training in related areas with expertise in cancer genomics research and discovery, computational methods, tools and databases utilized in genomic and genetic data analysis. Project experience in biomarker discovery, correlating genomic/genetics data with clinical and biochemical phenotypes. Determination of tumor driver pathway aberrations involving metabolic pathways. Proven ability to provide testable hypothesis to project teams based on systematic analysis of data from pre-clinical and clinical studies. Expertise in biological databases (e.g. TCGA, ICGC, COSMIC etc.) and use for translational or basic research. Experience with publicly and commercially available bioinformatics pathway/network analysis tools, genomics and genetics databases. Experience in applying computational systems biology or integrative analysis approaches to facilitate interpretation and hypothesis generation from results of genetics, genomics and epigenetics studies, preferably in a cross functional setting. Hands-on experience of analyzing data generated using one or more of the following: a) Microarrays -- Expression / Genotyping, b) Next Generation Sequencing platforms, c) Flow cytometry with emphasis on immunophenotyping, d) Proteomics, e) site-directed mutagenesis. Experience to include pathway level data analysis and interpretation. Familiarity with one or more genomics platforms from vendors such as Illumina, Complete Genomics, Affymetrix etc. around applications such as WGS, Exome Capture-Seq, RNA-Seq and ChIP-Seq , Microarray based Expression, micro RNA, DNA Methylation and Genotyping. Good bioinformatics programming skills in scripting or programming languages such as R, Python, Perl, C/C++ etc. and related bioinformatics packages.
EDUCATION:
A minimum of a Ph.D. degree in bioinformatics, immunology, computational or statistical sciences or related field with research in one or more aspects of cancer immuno-biology
Requeriments :
Skills :
- Bioinformatics
- Biology
- Genetics
- Microarray
- Next Generation Sequencing
- Programing in C
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in R
- RNA-seq
- Systems Biology
Areas :
Additional Info:
[Click Here to Access the Original Job Post]