Job ID: 5700
Job date: 2016-07-06
End Date:
Company : Consulting Professional Resources Country : Role : Research Scientist
Job date: 2016-07-06
End Date:
Company : Consulting Professional Resources Country : Role : Research Scientist
Job Description:
Bioinformatics Software Developer Pittsburgh, PA
Exploring areas such as genomic and proteomic data mining, natural language processing, machine learning, and biosurveillance, successful candidates will be responsible for the analyses and interpretation of large high throughput biological datasets including but not limited to, expression, micro RNA, SNP, methylation and Next Gen sequencing technologies.
Responsibilities :
Collaborate with biomedical researchers in genomic, proteomics, imaging, bioinformatics and related disciplines and assume significant or primary responsibility for providing bioinformatics solutions for translational research.
Responsibilities will include but are not limited to statistical analysis, algorithm development, interpretation of results, software development including data portals, assist with publications and grant proposals. Incumbent will also be responsible for communicating resulting to investigators in a timely manner and for working on multiple projects and PIs.
Ability to multitask, develop priorities, work in a fast-paced collaborative environment and adapt to changing needs.
Requirements:
Master’s Degree preferred. One to two years of related experience in bioinformatics software development and large data systems data mining and analysis, and understanding of genomics and proteomics. Familiarity with microarrays and next generation sequencing data, and and understanding of basic statistical methods.
Strong background in bioinformatics, computer science, biology or related discipline. Experience working with microarrays or complex biological datasets is required, as is fluency with basic statistical methods.
Experience with computational analysis frameworks such as R or MATLAB, and experience with major public genomic databases such as GenBank, UniGene, Ensembl, Entrez and UCSC genome browser. Familiarity with bioinformatics tools like Bioconductor and Cytoscape is a bonus.
Incumbent must have programming experience with Java, C/C++, Python, Unix Shell scripting, and UNIX cluster administration
A successful candidate will have demonstrated an understanding of bioinformatics concepts and success in scientific creativity, collaboration, independent work, through graduate coursework and/or work experience
Experience in software development in biotech, pharmaceutical industries or related feild.
Additional Info:
[Click Here to Access the Original Job Post]
Bioinformatics Software Developer Pittsburgh, PA
Exploring areas such as genomic and proteomic data mining, natural language processing, machine learning, and biosurveillance, successful candidates will be responsible for the analyses and interpretation of large high throughput biological datasets including but not limited to, expression, micro RNA, SNP, methylation and Next Gen sequencing technologies.
Responsibilities :
Collaborate with biomedical researchers in genomic, proteomics, imaging, bioinformatics and related disciplines and assume significant or primary responsibility for providing bioinformatics solutions for translational research.
Responsibilities will include but are not limited to statistical analysis, algorithm development, interpretation of results, software development including data portals, assist with publications and grant proposals. Incumbent will also be responsible for communicating resulting to investigators in a timely manner and for working on multiple projects and PIs.
Ability to multitask, develop priorities, work in a fast-paced collaborative environment and adapt to changing needs.
Requirements:
Master’s Degree preferred. One to two years of related experience in bioinformatics software development and large data systems data mining and analysis, and understanding of genomics and proteomics. Familiarity with microarrays and next generation sequencing data, and and understanding of basic statistical methods.
Strong background in bioinformatics, computer science, biology or related discipline. Experience working with microarrays or complex biological datasets is required, as is fluency with basic statistical methods.
Experience with computational analysis frameworks such as R or MATLAB, and experience with major public genomic databases such as GenBank, UniGene, Ensembl, Entrez and UCSC genome browser. Familiarity with bioinformatics tools like Bioconductor and Cytoscape is a bonus.
Incumbent must have programming experience with Java, C/C++, Python, Unix Shell scripting, and UNIX cluster administration
A successful candidate will have demonstrated an understanding of bioinformatics concepts and success in scientific creativity, collaboration, independent work, through graduate coursework and/or work experience
Experience in software development in biotech, pharmaceutical industries or related feild.
Requeriments :
Skills :
- Bioinformatics
- Biology
- Lunix/Unix
- Machine Learning
- Microarray
- Next Generation Sequencing
- Programing in C
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in Matlab
- Programming in R
- Shell scripting
Areas :
Additional Info:
[Click Here to Access the Original Job Post]