Job Description:
Job description Life Sciences HW/SW Architect - This role is responsible for building solutions in the sciences/bioinformatics/biomedical informatics applications and systems. This includes working on creating and optimizing genomic pipelines and applying parallelization techniques in collaboration with interdisciplinary teams of business, user-experience and domain experts, and external industry collaborators. Work will also include providing hardware configurations and guidance to customers to deploy potential life sciences solutions. Deliverables include solution blueprints, reference architectures, full working prototypes. The candidate should have experience and expertise in Hardware-software co-design, automation techniques, parallel computing, VLSI design, programming systems, computer systems. Desired Skills and Experience You must possess the below minimum qualifications to be initially considered for this position. Qualifications listed as preferred or additional will be considered a plus factor for applicants. Experience can be from a combination of internship, academic and on the job experience. Minimum Qualifications - -PhD in computer science and strong bent towards Life sciences -5+ years of experience in algorithm optimization, data structures, data, vector and task parallelization techniques. Familiarity with concepts, applications and data processing within the Life Sciences. -2+ years of architecting and developing solutions for High Performance Computing and/or Shared Memory systems. Experience programming genomic and sequence analysis applications. Parallel Processing skills in MPI, OpenMP, Pthreads, or other concurrency technologies. -Strong data analytics expertise along with statistical and algorithm development -4+ years of experience with Linux/Unix, scripting languages and multithreaded programming. Implementation skills in C/C++, Python, Perl, Bash and AWK. -2+ years of experience with one of the following - Distributed Cloud Computing Architecture, Hadoop, HBase, MapReduce, pattern matching and filtering. Additional Desired Qualifications - -Good understanding of statistical methods as they apply to genomic and genome-wide genetic data -Knowledge of Next Generation Sequencing, genotyping, gene expressions, or molecular diagnostics a plus -Data warehousing and ETL experience -Optimizing solutions on multicore architecture experience -Knowledge of big data storage solutions that improve computational workflows. -Ability to communicate complicated technical issues to senior management in a compelling fashion. -Proven ability to create collateral and speak in front of customers. -Demonstrated ability to identify new technologies, standards, and architectures of importance. -Ability to define the requirements of future High performance Computing systems architectures and configurations. -Domestic travel
Additional Info:
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Job description Life Sciences HW/SW Architect - This role is responsible for building solutions in the sciences/bioinformatics/biomedical informatics applications and systems. This includes working on creating and optimizing genomic pipelines and applying parallelization techniques in collaboration with interdisciplinary teams of business, user-experience and domain experts, and external industry collaborators. Work will also include providing hardware configurations and guidance to customers to deploy potential life sciences solutions. Deliverables include solution blueprints, reference architectures, full working prototypes. The candidate should have experience and expertise in Hardware-software co-design, automation techniques, parallel computing, VLSI design, programming systems, computer systems. Desired Skills and Experience You must possess the below minimum qualifications to be initially considered for this position. Qualifications listed as preferred or additional will be considered a plus factor for applicants. Experience can be from a combination of internship, academic and on the job experience. Minimum Qualifications - -PhD in computer science and strong bent towards Life sciences -5+ years of experience in algorithm optimization, data structures, data, vector and task parallelization techniques. Familiarity with concepts, applications and data processing within the Life Sciences. -2+ years of architecting and developing solutions for High Performance Computing and/or Shared Memory systems. Experience programming genomic and sequence analysis applications. Parallel Processing skills in MPI, OpenMP, Pthreads, or other concurrency technologies. -Strong data analytics expertise along with statistical and algorithm development -4+ years of experience with Linux/Unix, scripting languages and multithreaded programming. Implementation skills in C/C++, Python, Perl, Bash and AWK. -2+ years of experience with one of the following - Distributed Cloud Computing Architecture, Hadoop, HBase, MapReduce, pattern matching and filtering. Additional Desired Qualifications - -Good understanding of statistical methods as they apply to genomic and genome-wide genetic data -Knowledge of Next Generation Sequencing, genotyping, gene expressions, or molecular diagnostics a plus -Data warehousing and ETL experience -Optimizing solutions on multicore architecture experience -Knowledge of big data storage solutions that improve computational workflows. -Ability to communicate complicated technical issues to senior management in a compelling fashion. -Proven ability to create collateral and speak in front of customers. -Demonstrated ability to identify new technologies, standards, and architectures of importance. -Ability to define the requirements of future High performance Computing systems architectures and configurations. -Domestic travel
Requeriments :
Skills :
- Bioinformatics
- Computational Biology
- Modeling
- Next Generation Sequencing
- Programing in Python
- Programing Skills
- Systems Biology
Areas :
Additional Info:
[Click Here to Access the Original Job Post]