Job ID: 438964407
Job date: 2017-09-03
End Date:
Company : University of California Country : Role : Other
Job date: 2017-09-03
End Date:
Company : University of California Country : Role : Other
Job Description:
The Quantitative Biosciences Institute (QBI) at UCSF seeks a Bioinformatics Specialist for its Proteomics Core facility. The candidate will be responsible for collaborating with researchers and participating in the experimental and statistical design of projects, and in the biological interpretation of the resulting data. The candidate will be responsible for applying the appropriate algorithms, computational and modeling techniques and statistical methodologies to analyze and visualize data primarily generated through high-throughput proteomics experiments. The candidate is expected to create effective proteomics databases and to develop/maintain web-based tools for disseminating information to collaborators. The candidate will also have the opportunity to develop novel pipelines for analyzing and interpreting proteomics data, and integrating it with other types of data. Required Qualifications: PhD in bioinformatics, statistics, mathematics, computer science or a related discipline together with relevant research experience in generalized and/or linear mixed models, machine learning algorithms, experimental design, general statistical, and other commonly applied techniques in statistical omics data analysis. Preferred Qualifications:
Additional Info:
RECRUITMENT PERIOD Open date: February 24th, 2017 Next review date: September 14th, 2017 Apply by this date to ensure full consideration by the committee. Final date: August 24th, 2018 Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. JOB LOCATION: San Francisco, CA Requirements:
The Quantitative Biosciences Institute (QBI) at UCSF seeks a Bioinformatics Specialist for its Proteomics Core facility. The candidate will be responsible for collaborating with researchers and participating in the experimental and statistical design of projects, and in the biological interpretation of the resulting data. The candidate will be responsible for applying the appropriate algorithms, computational and modeling techniques and statistical methodologies to analyze and visualize data primarily generated through high-throughput proteomics experiments. The candidate is expected to create effective proteomics databases and to develop/maintain web-based tools for disseminating information to collaborators. The candidate will also have the opportunity to develop novel pipelines for analyzing and interpreting proteomics data, and integrating it with other types of data. Required Qualifications: PhD in bioinformatics, statistics, mathematics, computer science or a related discipline together with relevant research experience in generalized and/or linear mixed models, machine learning algorithms, experimental design, general statistical, and other commonly applied techniques in statistical omics data analysis. Preferred Qualifications:
- Understanding of large-scale proteomics data and placing it in a biological context, as well as experience working with other omics data such as transcriptomics, genomics, lipidomics, and metabolomics.
- Strong computational skills and prior experience with Unix/Linux and Windows environments, as well as programming, creating applications and packages in R.
- Skill in relational database design, implementation, optimization, and storage procedures.
- Experience with programming language preferred such as C/C++, Java, Python, and .NET, and familiarity with data visualization tools and in GUI development.
- Ability to develop web sites and set up effective sharing of data and analysis tools.
- Team player able to work in large collaborative projects.
Requeriments :
Skills :
- Database design
- genomic
- Lunix/Unix
- Machine Learning
- Modeling
- Programing in C
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in .NET
- Programming in Java
- Programming in R
- Statistics
- Transcriptomics
Areas :
Additional Info:
RECRUITMENT PERIOD Open date: February 24th, 2017 Next review date: September 14th, 2017 Apply by this date to ensure full consideration by the committee. Final date: August 24th, 2018 Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. JOB LOCATION: San Francisco, CA Requirements:
- Documents
- Curriculum Vitae - Your most recently updated C.V.
- Cover Letter
- Statement of Research (Optional)
- Statement of Teaching (Optional)
- Statement of Contributions to Diversity (Optional)
- Misc / Additional (Optional)
- References: 2 references required (contact information only)
- Create an ApplicantID
- Provide required information and documents
- If any, provide required reference information