Job ID:
Job date: 2018-05-08
End Date: 2018-07-07
Company : Loyola University Chicago Country : United States Role : Research Scientist
Job date: 2018-05-08
End Date: 2018-07-07
Company : Loyola University Chicago Country : United States Role : Research Scientist
Job Description:
The research assistant will work with Dr. Wheeler to investigate the degree of transferability of genome-wide and transcriptome-wide association results across populations, which has the potential to improve the implementation of precision medicine among diverse populations. The successful candidate will be involved in omics data analysis, statistical modeling, software development, and writing manuscripts. Minimum Education and/or Work Experience Bachelor’s degree in bioinformatics, computer science, statistics, or a related field, and zero-one year of related experience. Qualifications: Applicants must have a bachelor’s degree in bioinformatics, computer science, statistics, or a related field. The ideal candidate will have strong analytical, statistical, quantitative, and computational (e.g. R, Python, Linux, Git) skills and should be comfortable with large data sets (e.g. GWAS, RNA-Seq) and working from the command line. High performance computing and cloud computing experience is a plus. Certificates/Credentials/Licenses: Applicants must have a bachelor’s degree in bioinformatics, computer science, statistics, or a related field. The ideal candidate will have strong analytical, statistical, quantitative, and computational (e.g. R, Python, Linux, Git) skills and should be comfortable with large data sets (e.g. GWAS, RNA-Seq) and working from the command line. High performance computing and cloud computing experience is a plus. Computer Skills: Analytical, statistical, quantitative, and computational (e.g. R, Python, Linux, Git) skills and should be comfortable with large data sets (e.g. GWAS, RNA-Seq) and working from the command line. High performance computing and cloud computing experience is a plus. Supervisory Responsibilities:No Required operation of university owned vehicles: No Does this position require direct animal or patient contact? No Physical Demands: None Working Conditions: None Open Date: 05/04/2018 Special Instructions to Applicants:< This is a grant funded position. It is anticipated that there is sufficient funding for this position to exist for a one year period of time.
Additional Info:
[Click Here to Access the Original Job Post]
The research assistant will work with Dr. Wheeler to investigate the degree of transferability of genome-wide and transcriptome-wide association results across populations, which has the potential to improve the implementation of precision medicine among diverse populations. The successful candidate will be involved in omics data analysis, statistical modeling, software development, and writing manuscripts. Minimum Education and/or Work Experience Bachelor’s degree in bioinformatics, computer science, statistics, or a related field, and zero-one year of related experience. Qualifications: Applicants must have a bachelor’s degree in bioinformatics, computer science, statistics, or a related field. The ideal candidate will have strong analytical, statistical, quantitative, and computational (e.g. R, Python, Linux, Git) skills and should be comfortable with large data sets (e.g. GWAS, RNA-Seq) and working from the command line. High performance computing and cloud computing experience is a plus. Certificates/Credentials/Licenses: Applicants must have a bachelor’s degree in bioinformatics, computer science, statistics, or a related field. The ideal candidate will have strong analytical, statistical, quantitative, and computational (e.g. R, Python, Linux, Git) skills and should be comfortable with large data sets (e.g. GWAS, RNA-Seq) and working from the command line. High performance computing and cloud computing experience is a plus. Computer Skills: Analytical, statistical, quantitative, and computational (e.g. R, Python, Linux, Git) skills and should be comfortable with large data sets (e.g. GWAS, RNA-Seq) and working from the command line. High performance computing and cloud computing experience is a plus. Supervisory Responsibilities:No Required operation of university owned vehicles: No Does this position require direct animal or patient contact? No Physical Demands: None Working Conditions: None Open Date: 05/04/2018 Special Instructions to Applicants:< This is a grant funded position. It is anticipated that there is sufficient funding for this position to exist for a one year period of time.
Requeriments :
Skills :
- Cloud Computing
- HPC
- Lunix/Unix
- Modeling
- Programing in Python
- Programming in R
- RNA-seq
- Software Design
- Statistics
Additional Info:
[Click Here to Access the Original Job Post]