Job ID: 336969626
Job date: 2017-05-08
End Date:
Company : Agile Secure Data Exchange Country : Role : Other
Job date: 2017-05-08
End Date:
Company : Agile Secure Data Exchange Country : Role : Other
Job Description:
Tasks and Responsibilities: · Provide key interface between Product Engineering and Bioinformatics functions to ensure appropriate domain expertise is provided for all AgileSDE product development initiatives. -Manipulate publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases. -Assist in developing new software applications or customize existing applications to meet specific scientific project needs. -Direct the work of technicians and information technology staff applying bioinformatics tools or applications in areas such as proteomics, transcriptomics, metabolomics, and clinical bioinformatics. -Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms. -Provide statistical and computational tools for biologically based activities such as genetic analysis, measurement of gene expression, and gene function determination. -Analyze large molecular datasets such as raw microarray data, genomic sequence data, and proteomics data for clinical or basic research purposes. · Developing, testing, and implementing clinical informatics software and application solutions under direct supervision. · Continuously learning about a wide variety of Clinical domains to translate domain requirements into high-impact technical solutions. · Adopting best practices in scripting, pipeline workflow development, change controls, quality, sustainability, and documentation. Minimum Qualifications (Must have): · PhD or Master’s degree in Computational Biology, Bioinformatics, Computer Science, or a relevant scientific discipline, combined with at least 3-5 years in a commercial environment developing and engineering for biological sequence data analysis, or related genetics annotation and analysis. · Experience with Python, Perl, or other high-level languages preferred. · Hands-on experience curating and extracting data from databases, analyzing clinical data, and/or integrating clinical terminologies in a healthcare IT environment. · Knowledge of standard classifications used in medical coding and billing schemes, such as ICD-9, ICD-10, ICD-O-3, CPT, and HCPCS. · Willing to be very hands-on with data while learning new software technologies and tools that help us better analyze, manage, and organize standardized content.
Additional Info:
Work Location: Bay Area, California, Melbourne Florida[Click Here to Access the Original Job Post]
Tasks and Responsibilities: · Provide key interface between Product Engineering and Bioinformatics functions to ensure appropriate domain expertise is provided for all AgileSDE product development initiatives. -Manipulate publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases. -Assist in developing new software applications or customize existing applications to meet specific scientific project needs. -Direct the work of technicians and information technology staff applying bioinformatics tools or applications in areas such as proteomics, transcriptomics, metabolomics, and clinical bioinformatics. -Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms. -Provide statistical and computational tools for biologically based activities such as genetic analysis, measurement of gene expression, and gene function determination. -Analyze large molecular datasets such as raw microarray data, genomic sequence data, and proteomics data for clinical or basic research purposes. · Developing, testing, and implementing clinical informatics software and application solutions under direct supervision. · Continuously learning about a wide variety of Clinical domains to translate domain requirements into high-impact technical solutions. · Adopting best practices in scripting, pipeline workflow development, change controls, quality, sustainability, and documentation. Minimum Qualifications (Must have): · PhD or Master’s degree in Computational Biology, Bioinformatics, Computer Science, or a relevant scientific discipline, combined with at least 3-5 years in a commercial environment developing and engineering for biological sequence data analysis, or related genetics annotation and analysis. · Experience with Python, Perl, or other high-level languages preferred. · Hands-on experience curating and extracting data from databases, analyzing clinical data, and/or integrating clinical terminologies in a healthcare IT environment. · Knowledge of standard classifications used in medical coding and billing schemes, such as ICD-9, ICD-10, ICD-O-3, CPT, and HCPCS. · Willing to be very hands-on with data while learning new software technologies and tools that help us better analyze, manage, and organize standardized content.
Requeriments :
- M.Sc. or higher Degree in Bioinformatics
- M.Sc. or higher Degree in computational biology
- M.Sc. or higher Degree in Computer Science
Skills :
Areas :
Additional Info:
Work Location: Bay Area, California, Melbourne Florida[Click Here to Access the Original Job Post]