Job Description:
General Position Summary/Purpose: -Develop, maintain, and refine bioinformatics workflows and analytical tools for preclinical and clinical biomarker data analysis. -Practical knowledge of bioinformatics tools and resources, experience with next generation sequencing (NGS) data, various high-throughput omics analysis pipeline development, and strong background in genomics and molecular biology. -As a member of our bioinformatics group working with other research scientists and clinicians in a highly collaborative and dynamic environment to support biomarker investigations and translational medicine. Key Accountabilities/Core Job Responsibilities: -Working with standard bioinformatics tools, visualization packages, and omics databases/annotations resources. -Automating, refining and implementing the processing and analysis of large data sets (especially for high dimensional integrative omics analyses). -Developing and using bioinformatics pipelines to prepare and analyze data. -Designing, developing, and maintaining databases for scientific and commercial applications. -Analyzing and working with NGS data, ideally whole genome and exome sequence data. -Interpreting and translating data to biological knowledge -Presentation in internal group meetings or external scientific meetings. Qualifications/Experience: -Demonstrated fluency in UNIX/Linux computing environment (10+ years) -Proficiency in C/C++, R programming, and a scripting language (10+ years) such as Perl or Python (Java programming is a plus). -Familiarity with SAS, JMP or JMP Genomics, OmicSoft ArraySuite are a plus. -Good working knowledge of current best practices in genetic variant discovery and validation methods. -Strong organizational, written, and communication skills. -Good analytical and problem solving abilities. -A proven publication record. -Experience in human genetics and cancer biology is highly preferred. -Enjoys working in a fast paced and highly collaborative dynamic environment with a diverse team to tackle complex problems. -Eager to learn and think outside the box. -Is disciplined and driven to deliver ongoing research results. -Has a positive attitude with a willingness to roll up their sleeves and do what it takes to get the job done. -Is highly organized and detail oriented. -Is a strong written and verbal communicator. -Has a hard work ethic with emphasis on execution. Preferred Skills/Abilities: Knowledge and skills and experiences in bioinformatics support for translational research/medicine and biomarker data packages Education Requirements (degree, certifications, etc.): Include must have and preferred PhD in Bioinformatics, Computational Biology, Statistical Genetics/Genomics, Computer Science, Statistics/Biostatistics with strong molecular biology background, or related field with additional postdoctoral or industry experience preferred.
Additional Info:
Equal Opportunity Employer Minorities/Women/Veterans/Disabled [Click Here to Access the Original Job Post]
General Position Summary/Purpose: -Develop, maintain, and refine bioinformatics workflows and analytical tools for preclinical and clinical biomarker data analysis. -Practical knowledge of bioinformatics tools and resources, experience with next generation sequencing (NGS) data, various high-throughput omics analysis pipeline development, and strong background in genomics and molecular biology. -As a member of our bioinformatics group working with other research scientists and clinicians in a highly collaborative and dynamic environment to support biomarker investigations and translational medicine. Key Accountabilities/Core Job Responsibilities: -Working with standard bioinformatics tools, visualization packages, and omics databases/annotations resources. -Automating, refining and implementing the processing and analysis of large data sets (especially for high dimensional integrative omics analyses). -Developing and using bioinformatics pipelines to prepare and analyze data. -Designing, developing, and maintaining databases for scientific and commercial applications. -Analyzing and working with NGS data, ideally whole genome and exome sequence data. -Interpreting and translating data to biological knowledge -Presentation in internal group meetings or external scientific meetings. Qualifications/Experience: -Demonstrated fluency in UNIX/Linux computing environment (10+ years) -Proficiency in C/C++, R programming, and a scripting language (10+ years) such as Perl or Python (Java programming is a plus). -Familiarity with SAS, JMP or JMP Genomics, OmicSoft ArraySuite are a plus. -Good working knowledge of current best practices in genetic variant discovery and validation methods. -Strong organizational, written, and communication skills. -Good analytical and problem solving abilities. -A proven publication record. -Experience in human genetics and cancer biology is highly preferred. -Enjoys working in a fast paced and highly collaborative dynamic environment with a diverse team to tackle complex problems. -Eager to learn and think outside the box. -Is disciplined and driven to deliver ongoing research results. -Has a positive attitude with a willingness to roll up their sleeves and do what it takes to get the job done. -Is highly organized and detail oriented. -Is a strong written and verbal communicator. -Has a hard work ethic with emphasis on execution. Preferred Skills/Abilities: Knowledge and skills and experiences in bioinformatics support for translational research/medicine and biomarker data packages Education Requirements (degree, certifications, etc.): Include must have and preferred PhD in Bioinformatics, Computational Biology, Statistical Genetics/Genomics, Computer Science, Statistics/Biostatistics with strong molecular biology background, or related field with additional postdoctoral or industry experience preferred.
Requeriments :
Skills :
- Cancer biology
- Database design
- Genetics
- genomic
- Lunix/Unix
- molecular biology
- Next Generation Sequencing
- Programing in C
- Programing in C++
- Programing in Python
- Programming in Java
- Programming in PERL
- Programming in R
- Programming in SAS
Areas :
Additional Info:
Equal Opportunity Employer Minorities/Women/Veterans/Disabled [Click Here to Access the Original Job Post]