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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
- 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 Scientist
- Research Professor of Biostatistics
- Research Associate
- 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 Scientist”
- Compile data for use in activities such as gene expression profiling, genome annotation, and structural bioinformatics.
- Recommend new systems and processes to improve operations.
- Create novel computational approaches and analytical tools as required by research goals.
- Prepare summary statistics of information regarding human genomes.
- 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.
- Communicate research results through conference presentations, scientific publications, or project reports.
- Manipulate publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases.
- Create or modify web-based bioinformatics tools.
- Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.
- Provide statistical and computational tools for biologically based activities such as genetic analysis, measurement of gene expression, and gene function determination.
- Keep abreast of new biochemistries, instrumentation, or software by reading scientific literature and attending professional conferences.
- Confer with departments such as marketing, business development, and operations to coordinate product development or improvement.
- Test new and updated bioinformatics tools and software.
- Improve user interfaces to bioinformatics software and databases.
- Collaborate with software developers in the development and modification of commercial bioinformatics software.
- Instruct others in the selection and use of bioinformatics tools.
- Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms.
- Direct the work of technicians and information technology staff applying bioinformatics tools or applications in areas such as proteomics, transcriptomics, metabolomics, and clinical bioinformatics.
- Develop data models and databases.
Related Technology & Tools
- Desktop computers
- Laptop computers
- Personal computers
- Computer laser printers
- Computer data input scanners
- R
- Practical extraction and reporting language Perl
- Genedata Expressionist
- PHP: Hypertext Preprocessor
- MySQL
- Bioconductor
- Roche 454 Life Sciences GS Data Analysis
- Oracle Java
- Microsoft Excel
- Web browser software
- BioPerl
- Relational database management software
- Cufflinks
- Microsoft Visual C#
- ENSEMBL
- The MathWorks MATLAB
- Python
- Illumina Laboratory Information Management System LIMS
- Tibco S-PLUS
- Hypertext markup language HTML
- Life Technologies SOLiD
- Velvet
- C
- dbSNP
- Linux
- ClustalW
- GenBank
- BWA
- UNIX
- Primer3
- TopHat
- JavaScript
- Biomatters Geneious
- SAS
- Ruby
- TIBCO Spotfire S+
- Genome Analysis Toolkit GATK
- DNA sequencing software
- Accelrys Pipeline Pilot
- Extensible markup language XML
- Structured query language SQL
- Bowtie
- Public genomic databases
- NCBI RefSeq
- GenePattern
- Apache Hadoop
- Life Technologies Vector NTI
- RNA sequencing software
- BLAT
- Celera Assembler
- PostgreSQL
- C++