Job Description:
We are looking for a motivated application scientist to help evaluate,
compare, and develop next generation sequencing (NGS) data analysis
methods. The successful candidate should be able to quickly understand
the state-of-art computational biology techniques, prototype them and
perform benchmarking studies. The candidate must also be comfortable
working with people from different disciplines and be able to present
data analysis results in a clear and effective manner. The candidate is
also expected to interact with customers as needed, write technical
reports and publish new methods and/or data analysis findings in public
forums.
Candidate Requirements: A PhD in computer science,
computational biology, Bioinformatics, or a related field, along with
sufficient programming skills for prototyping. Experience with next
generation sequencing data analysis is required. Candidates with MS
degree but with relevant work experience can also be considered. The
successful candidate must be motivated and capable of working
independently as well as in team environment.
Eligible and interested candidates can email your resumes to rohit at strandls dot com
About Strand Life Sciences: Strand was founded in 2000
by computer science and mathematics professors who recognized the need
to automate and integrate life science data analysis through an
algorithmic and computational approach. Strand’s solutions for life
sciences research are robust and easy to use by the most novice user
while powerful and configurable for the bioinformatician. Using its
award-winning application development platform, AVADIS®, Strand builds
innovative products that enable fast and cutting-edge analysis for basic
and clinical research, drug discovery and development.
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