Job Description:
The Computational Biologist will be driving collaborations in translational and clinical research. You will report into and work closely with the Head of Precision Medicine Analytics to interpret patient profiles of cancer-related multi-omics samples, population studies, clinical trials, longitudinal analysis, and pathway-based analysis to inform clinicians and translational researchers about potential therapies, biomarkers and intervention points during the course of cancer treatment. Candidate Profile: The ideal candidate must have a mix of translational oncology and bioinformatics experience spanning 5+ years. He/she must have worked in a research environment focusing on human genetics, transriptomics, proteomic, metabolomics, systems biology, tumor epidemiology, biomarkers and/or cancer-related translational medicine initiatives. The candidate must be passionate about working with multidisciplinary teams and collaborations and thrive in a “startup-like” environment. Top 3 skill sets / technologies in the ideal candidate: 1. Deep knowledge of computational biology, translational or clinical research. 2. Outstanding oral and written skills. 3. Must be able to work with internals team and have credibility with external subject matter experts. Detailed Description and Job Requirements: Interacts with diverse teams and drives collaborations to identify questions and translate agile solutions in understanding cancer patient profiles, therapies, response and resistance to treatment, clinical trial patient matching. Develops algorithms and automated processes to integrate and interpret large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources, interprets and communicates insights and findings from analysis and experiments to product, service, and business managers, as well as oncology translational and clinical research community. Leading contributor individually and as a team member, providing direction and mentoring to others. Work is non-routine and very complex, involving the application of advanced technical/business skills in area of specialization. 5+ years relevant work experience. PhD/MD preferred. Detailed Description and Job Requirements: Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Leading contributor individually and as a team member, providing direction and mentoring to others. Work is non-routine and very complex, involving the application of advanced technical/business skills in area of specialization. 8 years relevant work experience. BS/BA preferred.
Additional Info:
ORACLE Cancer Research Cloud (OCRC) is an internal initiative to enable collaboration and accelerate research in cancer. A core goal of the OCRC initiative is to create a major inflection point in medical research, diagnosis, and treatment. This inflection point is based not on a single scientific discovery, but rather on the ability of the medical and scientific communities to integrate and share large complex datasets of biological knowledge. These datasets include models of molecular mechanisms of action and biological processes, multi-omics patient profiles, longitudinal patient data, and patient outcomes. It is an extremely ambitious project that brings assets from across the corporation to provide researchers a private area for them to conduct their research and enable collaborations. The intention of the initiative is to not only provide the infrastructure to make research more efficient, but also to provide the means to improve patient outcomes based on the most current available research. Our department will be driving the design, development, and delivery of the OCRC. We will be at the cutting edge of data acquisition, integration and analysis for all types of data necessary to support research, clinical, therapeutics, etc. We will leverage assets from inside and outside to company to ensure the best options are available to our constituents. The precision medicine analytics group is focusing on interpretation of multi-omics data in clinical and translational research, and is working closely with diverse internal and external teams of researchers and clinicians from industry, research centers and hospitals to develop cloud based solutions for cancer patient diagnosis and treatment. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law. Job: Business Operations Travel: No Location: US-MA,Mass-Burlington Job Type: Regular Employee Hire Organization: Oracle[Click Here to Access the Original Job Post]
The Computational Biologist will be driving collaborations in translational and clinical research. You will report into and work closely with the Head of Precision Medicine Analytics to interpret patient profiles of cancer-related multi-omics samples, population studies, clinical trials, longitudinal analysis, and pathway-based analysis to inform clinicians and translational researchers about potential therapies, biomarkers and intervention points during the course of cancer treatment. Candidate Profile: The ideal candidate must have a mix of translational oncology and bioinformatics experience spanning 5+ years. He/she must have worked in a research environment focusing on human genetics, transriptomics, proteomic, metabolomics, systems biology, tumor epidemiology, biomarkers and/or cancer-related translational medicine initiatives. The candidate must be passionate about working with multidisciplinary teams and collaborations and thrive in a “startup-like” environment. Top 3 skill sets / technologies in the ideal candidate: 1. Deep knowledge of computational biology, translational or clinical research. 2. Outstanding oral and written skills. 3. Must be able to work with internals team and have credibility with external subject matter experts. Detailed Description and Job Requirements: Interacts with diverse teams and drives collaborations to identify questions and translate agile solutions in understanding cancer patient profiles, therapies, response and resistance to treatment, clinical trial patient matching. Develops algorithms and automated processes to integrate and interpret large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources, interprets and communicates insights and findings from analysis and experiments to product, service, and business managers, as well as oncology translational and clinical research community. Leading contributor individually and as a team member, providing direction and mentoring to others. Work is non-routine and very complex, involving the application of advanced technical/business skills in area of specialization. 5+ years relevant work experience. PhD/MD preferred. Detailed Description and Job Requirements: Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Leading contributor individually and as a team member, providing direction and mentoring to others. Work is non-routine and very complex, involving the application of advanced technical/business skills in area of specialization. 8 years relevant work experience. BS/BA preferred.
Skills :
- Bioinformatics
- Biomarker Discovery
- Cancer biology
- Computational Biology
- Human Genetics
- Systems Biology
- Transcriptomics
Areas :
Additional Info:
ORACLE Cancer Research Cloud (OCRC) is an internal initiative to enable collaboration and accelerate research in cancer. A core goal of the OCRC initiative is to create a major inflection point in medical research, diagnosis, and treatment. This inflection point is based not on a single scientific discovery, but rather on the ability of the medical and scientific communities to integrate and share large complex datasets of biological knowledge. These datasets include models of molecular mechanisms of action and biological processes, multi-omics patient profiles, longitudinal patient data, and patient outcomes. It is an extremely ambitious project that brings assets from across the corporation to provide researchers a private area for them to conduct their research and enable collaborations. The intention of the initiative is to not only provide the infrastructure to make research more efficient, but also to provide the means to improve patient outcomes based on the most current available research. Our department will be driving the design, development, and delivery of the OCRC. We will be at the cutting edge of data acquisition, integration and analysis for all types of data necessary to support research, clinical, therapeutics, etc. We will leverage assets from inside and outside to company to ensure the best options are available to our constituents. The precision medicine analytics group is focusing on interpretation of multi-omics data in clinical and translational research, and is working closely with diverse internal and external teams of researchers and clinicians from industry, research centers and hospitals to develop cloud based solutions for cancer patient diagnosis and treatment. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law. Job: Business Operations Travel: No Location: US-MA,Mass-Burlington Job Type: Regular Employee Hire Organization: Oracle[Click Here to Access the Original Job Post]