Sponsor: Rubicon Genomics
Recording Date: 2/19/2014
Recording Time: 1 hour
You know genomics and you like to share your knowledge. You have broad competence in the field and expert knowledge of some part of it. You know how to tell good information from bad, how to draw interesting and intellectually responsible results from good information, and how to communicate those results in an accurate and engaging way. You are ready to refine your knowledge and to keep learning about a quickly changing field.
You know de Bruijn graphs, suffix tries, and FM-indices. You can explain the differences between ALLPATHS, Celera Assembler, and Velvet. You know how to assess the quality of an assembly and to compare assemblies. You understand phasing, multiploid structure, and haplotypes. You are an expert in high-performance computing: you understand computational infrastructure well enough to be able to figure how to handle the massive IO and memory loads of large assembly projects.
You will work with our industry-leading team and data to plan, write, and publish articles and results. You will find the best venues and methods to explain your results to the community. You have academic publications, a good blog, or other experience writing about science.
We are also looking for a strong cultural fit, as we value our team more than anything else and we like to learn from each other and share the knowledge. In return, we offer a relaxed and open work environment, great work conditions, and first-hand involvement in one of the most exciting fields of science that is laying down the foundations of modern personalized medicine.
If you would like to help us advance genomics at our leading, well-funded, and dynamic startup, please send your resume to email@example.com
please contact firstname.lastname@example.org for all inquiries or to submit resume with cover letter
Seven Bridges Genomics (www.sbgenomics.com) is building the most advanced cloud computing platform for genomics data analysis on the market. Voted “Best of Bio IT World 2013”, we enable researchers to analyze genomic data faster and more efficiently than ever possible, so that they can focus on advancing the fields of genomics and personalized medicine.