Job Description:
A postdoctoral position is available in the laboratory of Dr. Lilia Iakoucheva at the University of California, San Diego (http://iakouchevalab.ucsd.edu/research.html) Genomics and genetics of neuropsychiatric disorders A postdoctoral position is open to applicants with strong computational biology/systems biology/bioinformatics/statistics/networks backgrounds who are interested in applying their experience to study psychiatric disorders (autism and schizophrenia). The focus of the project is to utilize heterogeneous high-throughput datasets (WES, WGS, RNA-Seq, proteomics) to discover druggable networks and pathways involved in the brain disorders. Qualified candidates must have a PhD and a demonstrated strong ability in bioinformatics, systems biology, sequence analyses, network analyses or genetics including expertise in high-throughput data analyses, such as RNA-Seq, ChIP-Seq, CLIP-Seq, epigenomics, NGS, proteomics. Strong programming skills (Python, Java, R, C++ and Unix/Linux shell) are required. The candidate should also be familiar with NGS algorithms and tools, such as Bowtie, cufflinks, BWA, STAR, RSEM, UCSC Genome Browser, samtools, bedtools, vcf-tools etc. The knowledge of machine learning (deep learning, SVM and Bayesian inference) is a plus. The successful candidate should have a demonstrated ability for independent and critical thinking, excellent communication and teamwork skills, and strong publication record (at least one first-author publication is required). Job Type: Full-time Required education: Doctorate Required experience: related: 1 year
Additional Info:
Please send a resume and a brief statement summarizing research interests and experience [Click Here to Access the Original Job Post]
A postdoctoral position is available in the laboratory of Dr. Lilia Iakoucheva at the University of California, San Diego (http://iakouchevalab.ucsd.edu/research.html) Genomics and genetics of neuropsychiatric disorders A postdoctoral position is open to applicants with strong computational biology/systems biology/bioinformatics/statistics/networks backgrounds who are interested in applying their experience to study psychiatric disorders (autism and schizophrenia). The focus of the project is to utilize heterogeneous high-throughput datasets (WES, WGS, RNA-Seq, proteomics) to discover druggable networks and pathways involved in the brain disorders. Qualified candidates must have a PhD and a demonstrated strong ability in bioinformatics, systems biology, sequence analyses, network analyses or genetics including expertise in high-throughput data analyses, such as RNA-Seq, ChIP-Seq, CLIP-Seq, epigenomics, NGS, proteomics. Strong programming skills (Python, Java, R, C++ and Unix/Linux shell) are required. The candidate should also be familiar with NGS algorithms and tools, such as Bowtie, cufflinks, BWA, STAR, RSEM, UCSC Genome Browser, samtools, bedtools, vcf-tools etc. The knowledge of machine learning (deep learning, SVM and Bayesian inference) is a plus. The successful candidate should have a demonstrated ability for independent and critical thinking, excellent communication and teamwork skills, and strong publication record (at least one first-author publication is required). Job Type: Full-time Required education: Doctorate Required experience: related: 1 year
Requeriments :
Skills :
- Bioinformatics
- Computational Biology
- Genetics
- Lunix/Unix
- Machine Learning
- Next Generation Sequencing
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in Java
- Programming in R
- RNA-seq
- Statistics
Areas :
Additional Info:
Please send a resume and a brief statement summarizing research interests and experience [Click Here to Access the Original Job Post]