Bioinformatics Scientist job in San Diego, CA| Recruit Arrow
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Thursday, April 25, 2024
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Title
Bioinformatics Scientist
Location : California, San Diego
Refer job # WOPV338084
 
Job Responsibilities and Requirements: You Adding value to our customers begins with adding value to you. You the suite of benefits, perks, programs and unique opportunities we offer to support you the whole you in all stages of your life and career. With you create your own chemistry. The total rewards that you receive as a employee go way beyond a paycheck. From competitive health and insurance plans, to robust retirement benefits that include company-matching contributions, to making sure you never stop learning, we believe investing in you is investing in our success. Working for a large, global organization, you'll have a chance to grow professionally and personally, expand your network and build a rewarding and dynamic career. QUALIFICATIONS - RECOGNIZES INSTITUTIONS OF HIGHER EDUCATION WHICH ARE ACCREDITED BY THE COUNCIL FOR HIGHER EDUCATION ACCREDITATION OR EQUIVALENT Ingredients for Success: We Look For in You - MS in Bioinformatics, Computational Biology, Molecular Biology or a related field with Bioinformatics analysis experience or BS in Bioinformatics, Computational Biology, Molecular Biology or a related field with 2+ years of Bioinformatics analysis experience. - Experience in one or more areas of bioinformatics/computational biology including protein and DNA sequence analysis and use of various bioinformatics and data analysis applications in Unix and other operating systems - Computing skills with Perl or Python and/or other scripting/programming languages - SQL and knowledge of database design Demonstrated ability in: defining requirements and interpreting results for scientists working as part of a team and communicating effectively innovative thinking and implementation We'd also like to see - Understanding of statistical analysis methods - Additional experience in other areas of Bioinformatics: - genome sequence analysis - Biodiversity analysis such as phylogenetics and comparative phylogenomics - metagenomics pathway and functional analysis (gene/protein sequence-based function annotations and gene ontologies) - analysis of protein expression - meaningful integration and assembly of different types of biological, biophysical and informatics data.
 
 
 
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