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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…
- Bioinformatics Scientists
- Senior Scientist
- Senior Research Associate
- Scientific Informatics Project Leader
- Scientific Database Curator
- Research Scientist
- Director, Informatics
- Director of Translation and Experimental Medicine Bioinformatics
- Director of Bioinformatics and Trait Discovery
- Bioinformatics Scientist
- Bioinformaticist
- Systems Analyst
- Senior Bioinformatics Specialist
- Senior Bioinformatics Scientist
- Scientist
- Scientific Informatics Leader
- Research Professor of Biostatistics
- Research Assistant
- Principal Bioinformatics Specialist
- Postdoctoral Scholar
- Postdoc
- Post Doctoral Researcher
- Molecular Modeler
- Microarray Specialist
- Microarray Analyst
- Drug Discovery Informatics Specialist
- Director of Informatics
- Data Analyst
- Computational Biologist
- Bioinformatics Team Member
- Bioinformatics Support Specialist
- Bioinformatics Specialist
- Bioinformatics Engineer
- Bioinformatics Developer
- Bioinformatics Computer Scientist
- Bioinformatics Associate
- Bioinformatics Analyst
- Bioinformatician
- Assistant Scientist
Tasks for “Research Associate”
- Test new and updated bioinformatics tools and software.
- 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.
- Analyze large molecular datasets such as raw microarray data, genomic sequence data, and proteomics data for clinical or basic research purposes.
- Prepare summary statistics of information regarding human genomes.
- Recommend new systems and processes to improve operations.
- Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.
- 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.
- Communicate research results through conference presentations, scientific publications, or project reports.
- Manipulate publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases.
- Collaborate with software developers in the development and modification of commercial bioinformatics software.
- Compile data for use in activities such as gene expression profiling, genome annotation, and structural bioinformatics.
- Provide statistical and computational tools for biologically based activities such as genetic analysis, measurement of gene expression, and gene function determination.
- Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms.
- Create novel computational approaches and analytical tools as required by research goals.
- Create or modify web-based bioinformatics tools.
- Instruct others in the selection and use of bioinformatics tools.
- Improve user interfaces to bioinformatics software and databases.
- Confer with departments such as marketing, business development, and operations to coordinate product development or improvement.
Related Technology & Tools
- Computer data input scanners
- Computer laser printers
- Personal computers
- Desktop computers
- Laptop computers
- ClustalW
- Cufflinks
- Apache Hadoop
- Linux
- Python
- Life Technologies SOLiD
- GenBank
- Tibco S-PLUS
- PostgreSQL
- Velvet
- C++
- BLAT
- Web browser software
- DNA sequencing software
- Bioconductor
- MySQL
- Practical extraction and reporting language Perl
- Relational database management software
- Primer3
- Microsoft Excel
- Oracle Java
- Biomatters Geneious
- TIBCO Spotfire S+
- Genedata Expressionist
- NCBI RefSeq
- BioPerl
- dbSNP
- Microsoft Visual C#
- Celera Assembler
- PHP: Hypertext Preprocessor
- Ruby
- C
- Structured query language SQL
- Hypertext markup language HTML
- ENSEMBL
- R
- The MathWorks MATLAB
- Roche 454 Life Sciences GS Data Analysis
- Illumina Laboratory Information Management System LIMS
- Genome Analysis Toolkit GATK
- UNIX
- Extensible markup language XML
- Accelrys Pipeline Pilot
- Public genomic databases
- RNA sequencing software
- Bowtie
- JavaScript
- Life Technologies Vector NTI
- SAS
- GenePattern
- BWA
- TopHat