Job ID: 38917
Job date: 2018-01-05
End Date:
Company : Washington University in St. Louis Country : Role : Research Scientist
Job date: 2018-01-05
End Date:
Company : Washington University in St. Louis Country : Role : Research Scientist
Job Description:
The Dougherty lab (http://genetics.wustl.edu/jdlab/ ) is a mixed wet-lab dry lab environment studying gene expression in the brain in the context of psychiatric genetics. We are generating extensive RNA (RNA-seq, RF-seq, and HITS-CLIP) datasets and need a creative, motivated and intelligent researcher to take the lead the analysis and interpretation of this data. We are looking for someone with a bachelors or masters level degree in computational biology, bioinformatics, BME or related discipline with an interest in working with biological data. We have an extremely strong record in the gene expression profiling analysis and can offer mentoring in the analysis of genomics experiments and the use of computational statistics. PRIMARY DUTIES AND RESPONSIBILITIES:
Additional Info:
EOE Statement: Washington University is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, national origin, genetic information, disability, or protected veteran status.[Click Here to Access the Original Job Post]
The Dougherty lab (http://genetics.wustl.edu/jdlab/ ) is a mixed wet-lab dry lab environment studying gene expression in the brain in the context of psychiatric genetics. We are generating extensive RNA (RNA-seq, RF-seq, and HITS-CLIP) datasets and need a creative, motivated and intelligent researcher to take the lead the analysis and interpretation of this data. We are looking for someone with a bachelors or masters level degree in computational biology, bioinformatics, BME or related discipline with an interest in working with biological data. We have an extremely strong record in the gene expression profiling analysis and can offer mentoring in the analysis of genomics experiments and the use of computational statistics. PRIMARY DUTIES AND RESPONSIBILITIES:
- Leading analyses of next-generation sequence and genotype data collected from sources such as coding and non-coding RNAs expressed to specific cell types in the brain, bound to particular RNA binding proteins, or localized to synapses.
- Some analysis of human genetic data for disease association.
- Codes or modifies, tests, and debugs programs.
- Generation of figures to present results from data analysis.
- Analyzes requirements for business, statistical, technical, mathematical or scientific problems where standard practices apply.
- Prepares flow charts and necessary documentation.
- Tests and debugs programs, correcting program errors.
- Maintains program documentation files, data records.
- Some previous programming experience desirable.
- Must enjoy contributing as a team member in a fast-paced interactive environment as well as working on self-directed research within the broader goals of the group.
- Excellent computational skills are essential. The ideal applicant will know a compiled language (e.g. C, Java), a scripting language (e.g. PERL, Python), and R. Of these, R expertise is the most immediately important. SQL also of use.
- Must demonstrate effective oral and written English communication and proven ability to work in a collaborative environment
- Bachelor’s or Master’s in bioinformatics, genetics, statistics, computer science or related field is preferred.
- A background in the application of statistical methods in the biological and medical sciences is advantageous.
- An interest in developing new methods for data visualization would be valued and nourished by the group.
- Experience developing pipelines in a Linux/UNIX environment, and with cluster computing is a plus.
- Experience with web site design and maintenance is a plus.
Requeriments :
Skills :
- Human Genetics
- Lunix/Unix
- Mathematics
- Next Generation Sequencing
- Programing in C
- Programing in Python
- Programing Skills
- Programming in Java
- Programming in PERL
- Programming in R
- RNA-seq
- SQL
- Statistics
Areas :
Additional Info:
EOE Statement: Washington University is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, national origin, genetic information, disability, or protected veteran status.[Click Here to Access the Original Job Post]