The Moores Cancer Center Oncogenomics Laboratory (moores.ucsd.edu/oncogx/) is recruiting a junior bioinformatician / genome analyst.
The main focus of the oncogenomics laboratory is to analyze patient-derived specimen, both tumor and germline, to identify novel biomarkers of prognosis, drug response and to identify novel potential therapeutic targets. Our approach uses in-house generated as well as public datasets of high-throughput DNA sequencing for data analysis and data mining.
We are seeking applicants who are creative and independent data analysts but able to effectively work within a team of individuals with diverse skills. In particular, we are looking for candidates with MS+0-3 years or PhD in computer science / bioinformatics/ bio-engineeering with strong analytical background (mathematics or statistics). Ideal candidates will be familiar with human genomic databases (UCSC Browser, ENCODE, TCGA) and high throughput DNA sequencing analysis (BWA, GATK, SAMTOOLS, VCFTOOLS). Knowledge of R, UNIX bash scripting and one programming language (Perl, Python, C++, Java) is required. Documented history of adherence to good coding practice (version control and open source software development) is desirable.
To apply, please send a CV with a cover letter describing professional interests to Olivier Harismendy ([email protected])
The main focus of the oncogenomics laboratory is to analyze patient-derived specimen, both tumor and germline, to identify novel biomarkers of prognosis, drug response and to identify novel potential therapeutic targets. Our approach uses in-house generated as well as public datasets of high-throughput DNA sequencing for data analysis and data mining.
We are seeking applicants who are creative and independent data analysts but able to effectively work within a team of individuals with diverse skills. In particular, we are looking for candidates with MS+0-3 years or PhD in computer science / bioinformatics/ bio-engineeering with strong analytical background (mathematics or statistics). Ideal candidates will be familiar with human genomic databases (UCSC Browser, ENCODE, TCGA) and high throughput DNA sequencing analysis (BWA, GATK, SAMTOOLS, VCFTOOLS). Knowledge of R, UNIX bash scripting and one programming language (Perl, Python, C++, Java) is required. Documented history of adherence to good coding practice (version control and open source software development) is desirable.
To apply, please send a CV with a cover letter describing professional interests to Olivier Harismendy ([email protected])
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