Highlighted Services for PAG Attendees
- Rich experience: successfully sequenced >370,000 samples for >10,000 global customers
- Quick turnaround time: finish projects in as fast as 2 weeks
- Diverse sequencing platforms: access to 30 HiSeq X, 25 NovaSeq and 20 PacBio Sequel, the largest sequencing capacity in the world
- Advanced data analysis for projects of all sizes
- State-of-the-art California lab in the US, and branches worldwide
25 NovaSeq 6000, 30 HiSeq X, and 20 PacBio Sequel
High Quality Data & Affordable Prices
Our latest NovaSeq systems enable highly affordable RNA-Seq and exome sequencing services with fast turnaround. See our Exome Sequencing Promotion!
Substantial discount available for a full NovaSeq flow cell (>1000 GB)
Also check out our Whole Genome Sequencing service on HiSeq X Ten
Location: San Diego, CA
The Marketing Specialist will conduct market research and competitive analysis to guide product positioning, pricing, and sales strategies; represent the company to attend trade shows and company sponsored events; organize/generate sales leads; develop marketing collateral and sales tools; and establish our web presence to boost brand awareness.
Competitive salary and benefits including health, dental and vision insurance and 401k
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If you’re interested in applying for this position, please send your resume or CV to email@example.com
Yi-Hsiang Hsu, M.D., ScD
Director of the Genetic Epi Program, HSL Institute for Aging Research Beth Israel Deaconess Medical Center and Harvard Medical School
Dr. Yi-Hsiang Hsu is the Director of the Genetic Epi Program at HSL Institute for Aging Research and Harvard Medical School. He is a faculty at the Broad Institute of MIT and Harvard, as well as at Harvard Medical School and at Program for Quantitative Genomics, Program of Molecular and Integrative Physiological Sciences, Harvard School of Public Health, Boston, MA.
Dr. Hsu is a Statistical Geneticist/Computational Biologist. His research focuses on (1) Genetic contribution of common aging relevant disorders (such as osteoporosis, sarcopenic obesity, metabolic syndrome, type 2 diabetes and hypertension) using population-based next generation (NGS) whole genome sequencing, exome-sequencing and genome-wide association (GWAS) approaches to identify common and rare variants that are associated with these complex traits/phenotypes; (2) Predicting non-coding causal variants and targeted genes in GWAS loci using tissue-and cell-specific gene regulatory landscapes generated by ENCODE and US NIH Roadmap Epigenomics Project; (3) Statistical method development on multiple-phenotype association analyses; (4) Integrating omics data (genomics, transcriptome, epigenomics, proteomics and metabolomics) using system genetics and bioinfomatic approaches; and (5) Identifying biomarkers of osteoporosis using metabolomics.