The Inova Translational Medicine Institute (ITMI) is leading the transformation of healthcare into personalized medicine using technological innovation, pioneering research, and sophisticated information management. The work of ITMI is enabling Inova to translate advances from genomics and molecular sciences directly to patients, optimizing individual health and well-being. We offer a unique opportunity to work on integration of high-throughput omics data, individual health records, and individual environment factors -- ideal for those wanting to make an impact transforming translational research.
As a member of the multidisciplinary bioinformatics team, you may participate, but not necessarily be limited to, the following activities:
· Lead and undertake innovative research that utilizes ITMI’s large collection of internal multi-omics data and public data resources. Make significant contributions to journal papers on data analysis and/or novel method development.
· Big genomic data algorithm and analytics development on Hadoop/Spark platforms.
· Support research and high-throughput omics data analysis for internal clinical lab and other institutes within the Inova Health Systems.
· Microbiome projects using 16S or shotgun metagenomics.
Desirable qualifications and skill:
· PhD in Statistics, Statistical Genetics, Computer Science or related fields.
· Experience of techniques used in bioinformatics, genomics and statistical genetics, with particular expertise in computational approaches to genomic analyses. Previous experience with large-scale association studies is highly desirable.
· Experience also expected in working with large-scale biomedical data and hands on experience developing software or information systems to manage and analyze biomedical data. Previous experience with Next and Third generation sequence data, proteomic data and microarray data is highly desirable.
· Excellent computational skills, including statistical programming (ideally R) and ideally also a programming language such as Python, Java, and C++. Experience with Linux and use of a High-Performance Computing Linux cluster.
· Ability to work independently and also as part of a team.
· Excellent written and oral communication skills.
Please email your application to [email protected]
or apply electronically at http://www.inovacareers.org/ (JobID: 25285BR)
As a member of the multidisciplinary bioinformatics team, you may participate, but not necessarily be limited to, the following activities:
· Lead and undertake innovative research that utilizes ITMI’s large collection of internal multi-omics data and public data resources. Make significant contributions to journal papers on data analysis and/or novel method development.
· Big genomic data algorithm and analytics development on Hadoop/Spark platforms.
· Support research and high-throughput omics data analysis for internal clinical lab and other institutes within the Inova Health Systems.
· Microbiome projects using 16S or shotgun metagenomics.
Desirable qualifications and skill:
· PhD in Statistics, Statistical Genetics, Computer Science or related fields.
· Experience of techniques used in bioinformatics, genomics and statistical genetics, with particular expertise in computational approaches to genomic analyses. Previous experience with large-scale association studies is highly desirable.
· Experience also expected in working with large-scale biomedical data and hands on experience developing software or information systems to manage and analyze biomedical data. Previous experience with Next and Third generation sequence data, proteomic data and microarray data is highly desirable.
· Excellent computational skills, including statistical programming (ideally R) and ideally also a programming language such as Python, Java, and C++. Experience with Linux and use of a High-Performance Computing Linux cluster.
· Ability to work independently and also as part of a team.
· Excellent written and oral communication skills.
Please email your application to [email protected]
or apply electronically at http://www.inovacareers.org/ (JobID: 25285BR)