[CPM-SPIRE-L] Computational scientist position - Algorithms for structural variation discovery from long reads - Broad Institute of MIT and Harvard

[fc]

The Long Reads group, within the Data Sciences Platform at the Broad
Institute in Cambridge, MA, is looking for two method developers to
join its efforts in discovering structural variants from tens of
thousands of long-read samples from human individuals, and in
genotyping structural variants on millions of short-read samples.

The ideal candidate has experience in designing algorithms and data
structures on sequences, in implementing them at scale, and preferably
an appreciation of the complexities of real data and a significant
background in computational biology. Previous experience in
algorithms/data structures for pangenomes, or in genome assembly,
would be very useful.

Our data comes from the All of Us Research Program
(https://allofus.nih.gov) and from several other partnerships with
sequencing centers and research groups. Our team tackles methods
development needs arising from long-read data across the Broad, and is
connected to groups in the Broad community and to clinical and
academic researchers worldwide. For more details, see e.g.:

https://www.linkedin.com/jobs/view/computational-scientist-long-reads-group-at-broad-institute-of-mit-and-harvard-3163620369

If interested, please send your CV, a list or publications, and a
cover letter that explains how your profile fits the position, to
Fabio Cunial (fcunial at broadinstitute.org), or use the application form
at the link above. Feel free to contact Fabio for any other questions
you might have.