Job Description:
Position Description The New York Genome Center is looking for a highly motivated, detail-oriented individual to join our rapidly expanding informatics division in the bioinformatics and computational biology group. As Senior Bioinformatics Analyst (Statistical Genetics/Genetic Epidemiology), you will be responsible for the analysis of next-generation sequencing (NGS) data, including but not limited to small & large scale familial data and population data. You will work as part of a team of analysts and scientists led by experienced bioinformatics scientists. Job duties might include:
Additional Info:
[Click Here to Access the Original Job Post]
Position Description The New York Genome Center is looking for a highly motivated, detail-oriented individual to join our rapidly expanding informatics division in the bioinformatics and computational biology group. As Senior Bioinformatics Analyst (Statistical Genetics/Genetic Epidemiology), you will be responsible for the analysis of next-generation sequencing (NGS) data, including but not limited to small & large scale familial data and population data. You will work as part of a team of analysts and scientists led by experienced bioinformatics scientists. Job duties might include:
- Analyze sequencing data using established workflows;
- Perform appropriate QC measures;
- Implement, execute and document data analysis pipelines and workflows;
- Benchmark new tools for sequencing data analysis and propose improvements;
- Develop and apply novel analysis approaches;
- Assist and collaborate with internal and external researchers on analyses of NGS data;
- Summarize results in written or oral reports for bioinformatics scientists and internal researchers;
- Assist bioinformatics scientists in preparing text and figures for manuscripts and external presentations.
- BS or MS degree with 3+ years work/research experience or PhD in genetics, statistics, biostatistics, genetic epidemiology, bioinformatics, computer science, physics, mathematics or similar with demonstrable computational and statistical skills required;
- In depth understanding of the mathematical/statistical principles and methods that are relevant to computational genomics and disease modeling; [e.g. association of rare variants (burden tests, SKAT), haplotype analysis, structural variant analysis, epigenetics];
- Background in disease-focused genomics (e.g. pediatric phenotypes, immunology, neurological or psychiatric disorders) a plus;
- Programming skills in R, Python, Perl, BASH or similar;
- Programming skills in C++ or Java a plus;
- Experience working in a Linux environment, experience with SGE preferred;
- Familiarity with commonly used public genomics datasets (e.g.; 1000 Genomes, TCGA, GTEx) a plus;
- Team oriented with excellent written and verbal communication skills.
Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]