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