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Job Description

Conduct research using bioinformatics theory and methods in areas such as pharmaceuticals, medical technology, biotechnology, computational biology, proteomics, computer information science, biology and medical informatics. May design databases and develop algorithms for processing and analyzing genomic information, or other biological information.

Job Details

The SOC (Standard Occupational Classification) code is 19-1029.01

☝️ Information based on the reference occupation “Bioinformatics Scientists”.

Also Known As…

Tasks for “Research Scientist”

Create or modify web-based bioinformatics tools.
Collaborate with software developers in the development and modification of commercial bioinformatics software.
Create novel computational approaches and analytical tools as required by research goals.
Test new and updated bioinformatics tools and software.
Develop data models and databases.
Recommend new systems and processes to improve operations.
Prepare summary statistics of information regarding human genomes.
Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.
Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms.
Improve user interfaces to bioinformatics software and databases.
Manipulate publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases.
Communicate research results through conference presentations, scientific publications, or project reports.
Direct the work of technicians and information technology staff applying bioinformatics tools or applications in areas such as proteomics, transcriptomics, metabolomics, and clinical bioinformatics.
Instruct others in the selection and use of bioinformatics tools.
Provide statistical and computational tools for biologically based activities such as genetic analysis, measurement of gene expression, and gene function determination.
Analyze large molecular datasets such as raw microarray data, genomic sequence data, and proteomics data for clinical or basic research purposes.
Keep abreast of new biochemistries, instrumentation, or software by reading scientific literature and attending professional conferences.
Compile data for use in activities such as gene expression profiling, genome annotation, and structural bioinformatics.
Develop new software applications or customize existing applications to meet specific scientific project needs.
Confer with departments such as marketing, business development, and operations to coordinate product development or improvement.

Related Technology & Tools

Desktop computers
Laptop computers
Computer data input scanners
Personal computers
Computer laser printers

Microsoft Visual C#
BWA
Bowtie
BioPerl
Primer3
Accelrys Pipeline Pilot
Tibco S-PLUS
PostgreSQL
Web browser software
NCBI RefSeq
Illumina Laboratory Information Management System LIMS
R
Ruby
Relational database management software
Linux
Life Technologies SOLiD
C++
Life Technologies Vector NTI
GenBank
Genedata Expressionist
TIBCO Spotfire S+
Genome Analysis Toolkit GATK
Microsoft Excel
PHP: Hypertext Preprocessor
Biomatters Geneious
RNA sequencing software
Bioconductor
Python
JavaScript
The MathWorks MATLAB
Celera Assembler
UNIX
Practical extraction and reporting language Perl
Oracle Java
BLAT
Hypertext markup language HTML
Apache Hadoop
ClustalW
Public genomic databases
dbSNP
Structured query language SQL
Cufflinks
Extensible markup language XML
Roche 454 Life Sciences GS Data Analysis
GenePattern
TopHat
MySQL
SAS
ENSEMBL
C
Velvet
DNA sequencing software