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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 “Senior Research Associate”

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

Related Technology & Tools

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

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