Job:Bioinformaticist in microbial single cell genomics, Bigelow Laboratory, Maine, US
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7.7 years ago

We are seeking a highly motivated, applied bioinformaticist who will lead the development and implementation of cutting-edge, local and cloud computing solutions in support of SCGC's pioneering single cell genomics pipeline and associated research projects.

SCGC is a global leader in microbial single cell genomics and has been serving as an engine for technology development and discoveries in microbial ecology, evolution, bioprospecting and human health since 2009. It boasts the first in the world, high throughput pipeline for the isolation and genomic analysis of individual cells, and a global network of partnerships. Bigelow Laboratory is located in scenic, coastal Maine with abundant opportunities for outdoor and cultural activities.

Required skills:

  • Proficiency in Python, R, high-performance UNIX/Linux systems
  • Extensive hands-on experience in next-gen sequence data analysis
  • Ability to work independently in a diverse team of computational and laboratory scientists, and with our global partners

Duration: not term-limited

Salary: competitive and commensurate with experience.

Applications should consist of (1) a cover letter describing your interest in the position, (2) a curriculum vita, (3) the names and contact information for three references. Applications should be sent to Please reference #B1-2015-2 in the subject line. The search will continue until the position has been filled. Bigelow Laboratory is an Equal Opportunity Employer.

Selected publications:

  1. Labonté JM, Swan BK, Poulos B, Luo H, Koren S, Hallam SJ, Sullivan MB, Woyke T, Wommack KE, Stepanauskas R. 2015. Single cell genomics-based analysis of virus-host interactions in marine surface bacterioplankton. The ISME Journal, advance online publication.
  2. Kashtan N, Roggensack SE, Rodrigue S, Thompson JW, Biller SJ, Coe A, Ding H, Marttinen P, Malmstrom R, Stocker R, Follows MJ, Stepanauskas R, Chisholm SW. 2014. Single cell genomics reveals hundreds of coexisting subpopulations in wild Prochlorococcus. Science 344:416-420
  3. Rinke C, Schwientek P, Sczyrba A, Ivanova NN, Anderson IJ, Cheng J-F, Darling A, Malfatti S, Swan BK, Gies EA, Dodsworth JA, Hedlund BP, Tsiamis G, Sievert SM, Liu W-T, Eisen JA, Hallam S, Kyrpides N, Stepanauskas R, Rubin E, Hugenholtz P, Woyke T. 2013. Insights into the phylogeny and coding potential of microbial dark matter. Nature 499:431-437.
  4. Swan BK, Tupper B, Sczyrba A, Lauro FM, Martinez-Garcia M, Gonzalez JM, Luo H, Wright JJ, Landry ZC, Hanson NW, Thompson B, Poulton NJ, Schwientek P, Gonzalez-Acinas S, Giovannoni SJ, Moran MA, Hallam SJ, Cavicchioli R, Woyke T, Stepanauskas R. 2013. Prevalent genome streamlining and latitudinal divergence of marine bacteria in the surface ocean. PNAS 110:11463-11468.
  5. Stepanauskas, R. 2012. Single cell genomics: An individual look at microbes. Current Opinion in Microbiology, 15:613-620.
Assembly single-cell-genomics sequencing python R • 1.4k views

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