Job ID: 2017-6134
Job date: 2017-02-25
End Date:
Company : Dana-Farber Cancer Institute Country : Role : Postdoc
Job date: 2017-02-25
End Date:
Company : Dana-Farber Cancer Institute Country : Role : Postdoc
Job Description:
The Dana-Farber Cancer Institute seeks a POSTDOCTORAL COMPUTATIONAL BIOLOGIST FELLOW, under the Van Allen lab (http://vanallenlab.dana-farber.org/) and the Center for Cancer Precision Medicine (http://www.dana-farber.org/newsroom/news-releases/joint-center-for-cancer-precision-medicine-established.aspx) to work on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts for precision cancer medicine and immuno-oncology. Specifically, the qualified candidate will create new algorithms for dissecting tumor and immune features in patients receiving immunotherapies, along with the clinical integration of somatic and germline sequencing to enable new discoveries in these patient populations. The candidate will also integrate tools and databases into existing high-throughput pipelines, and facilitate the display and the distribution of processed data. These projects include: -Prospective clinical sequencing to guide the care of cancer patients -Studies of drivers of cancer development and immunotherapy treatment response -Studies of patient samples for transcriptional signatures of immune response -Studies of germline variants and impact on cancer immunotherapies to develop predictors of response These projects are collaborative efforts between the Dana-Farber Cancer Institute, the Broad Institute, and multiple other institutions. The goals of this initiative consist of analyzing sequencing data to determine the effects of genomic alterations and expression changes on clinical behavior, both retrospectively and prospectively. These new data could help identify novel approaches for personalized care in oncology. In addition, this data may provide support for new methods in clinical decision-making, biomarkers for rational drug development, and new insights into tumor biology through innovative analyses. The person hired for this position will join the team in this effort, and will participate in the design and implementation of algorithms to analyze the data and integrate with other data sets including clinical outcomes data. This person will also help with the generation of tools needed for manipulating and preparing data for display; transferring data to external collaborators and data repositories; and will also help maintain, support, and document shared tools, code base, and data sets. As the software infrastructure evolves, this position is likely to present diverse and flexible opportunities - from deeper and more complex software design problems, to becoming more involved in the bioinformatic and analytic aspects of predictive modeling. Also potentially: -Interprets complex biological information. Performs tasks to reduce and consolidate output from software. Prepares data for utilization by other scientists. -Monitors new data from public databases, finds and loads missed data, cleans loaded data to satisfy quality control criteria. -Must be able to query various sources for the information needed; i.e., the Web, publications and internal DFCI resources. -Directs and guides DNA, RNA and protein sequence database searches and the computational analysis of resulting data. -Implements end-users needs in database searching and integration. -Maintains the computational infrastructure and controls the flow of samples and information for large-scale studies. -Recognizes and reports problems with the data management process and fixes the problems whenever possible. Qualifications A Ph.D. in bioinformatics, genetics, immunology, mathematical, physical, or computer science, or comparable research experience, together with significant experience in computer programming and computational biological applications. A strong background in statistics and biology. Experience managing and curating large datasets and with machine learning techniques desired. Excellent oral and written communication skills and the ability to perform both self-directed and guided research are required. Must demonstrate outstanding personal initiative and the ability to work effectively as part of a team. Ability to meet deadlines and efficiently multitask is a must.
Additional Info:
Located in Boston and the surrounding communities, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to underserved members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. Provides assistance to faculty and research staff in the collection, management, analysis and interpretation of biological data, with a focus on the analysis of data from genomic, transcriptomic, proteomic, or microarray studies. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other groups as protected by law. [Click Here to Access the Original Job Post]
The Dana-Farber Cancer Institute seeks a POSTDOCTORAL COMPUTATIONAL BIOLOGIST FELLOW, under the Van Allen lab (http://vanallenlab.dana-farber.org/) and the Center for Cancer Precision Medicine (http://www.dana-farber.org/newsroom/news-releases/joint-center-for-cancer-precision-medicine-established.aspx) to work on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts for precision cancer medicine and immuno-oncology. Specifically, the qualified candidate will create new algorithms for dissecting tumor and immune features in patients receiving immunotherapies, along with the clinical integration of somatic and germline sequencing to enable new discoveries in these patient populations. The candidate will also integrate tools and databases into existing high-throughput pipelines, and facilitate the display and the distribution of processed data. These projects include: -Prospective clinical sequencing to guide the care of cancer patients -Studies of drivers of cancer development and immunotherapy treatment response -Studies of patient samples for transcriptional signatures of immune response -Studies of germline variants and impact on cancer immunotherapies to develop predictors of response These projects are collaborative efforts between the Dana-Farber Cancer Institute, the Broad Institute, and multiple other institutions. The goals of this initiative consist of analyzing sequencing data to determine the effects of genomic alterations and expression changes on clinical behavior, both retrospectively and prospectively. These new data could help identify novel approaches for personalized care in oncology. In addition, this data may provide support for new methods in clinical decision-making, biomarkers for rational drug development, and new insights into tumor biology through innovative analyses. The person hired for this position will join the team in this effort, and will participate in the design and implementation of algorithms to analyze the data and integrate with other data sets including clinical outcomes data. This person will also help with the generation of tools needed for manipulating and preparing data for display; transferring data to external collaborators and data repositories; and will also help maintain, support, and document shared tools, code base, and data sets. As the software infrastructure evolves, this position is likely to present diverse and flexible opportunities - from deeper and more complex software design problems, to becoming more involved in the bioinformatic and analytic aspects of predictive modeling. Also potentially: -Interprets complex biological information. Performs tasks to reduce and consolidate output from software. Prepares data for utilization by other scientists. -Monitors new data from public databases, finds and loads missed data, cleans loaded data to satisfy quality control criteria. -Must be able to query various sources for the information needed; i.e., the Web, publications and internal DFCI resources. -Directs and guides DNA, RNA and protein sequence database searches and the computational analysis of resulting data. -Implements end-users needs in database searching and integration. -Maintains the computational infrastructure and controls the flow of samples and information for large-scale studies. -Recognizes and reports problems with the data management process and fixes the problems whenever possible. Qualifications A Ph.D. in bioinformatics, genetics, immunology, mathematical, physical, or computer science, or comparable research experience, together with significant experience in computer programming and computational biological applications. A strong background in statistics and biology. Experience managing and curating large datasets and with machine learning techniques desired. Excellent oral and written communication skills and the ability to perform both self-directed and guided research are required. Must demonstrate outstanding personal initiative and the ability to work effectively as part of a team. Ability to meet deadlines and efficiently multitask is a must.
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Additional Info:
Located in Boston and the surrounding communities, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to underserved members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. Provides assistance to faculty and research staff in the collection, management, analysis and interpretation of biological data, with a focus on the analysis of data from genomic, transcriptomic, proteomic, or microarray studies. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other groups as protected by law. [Click Here to Access the Original Job Post]