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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
- 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 “Scientific Informatics Leader”
- Confer with departments such as marketing, business development, and operations to coordinate product development or improvement.
- Create or modify web-based bioinformatics tools.
- Collaborate with software developers in the development and modification of commercial bioinformatics software.
- Analyze large molecular datasets such as raw microarray data, genomic sequence data, and proteomics data for clinical or basic research purposes.
- Test new and updated bioinformatics tools and software.
- Prepare summary statistics of information regarding human genomes.
- Keep abreast of new biochemistries, instrumentation, or software by reading scientific literature and attending professional conferences.
- Manipulate publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases.
- 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.
- Improve user interfaces to bioinformatics software 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.
- Create novel computational approaches and analytical tools as required by research goals.
- Develop data models and databases.
- Instruct others in the selection and use of bioinformatics tools.
- Recommend new systems and processes to improve operations.
- Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms.
- 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.
- Develop new software applications or customize existing applications to meet specific scientific project needs.
Related Technology & Tools
- Computer laser printers
- Personal computers
- Desktop computers
- Computer data input scanners
- Laptop computers
- Illumina Laboratory Information Management System LIMS
- Cufflinks
- Life Technologies Vector NTI
- PHP: Hypertext Preprocessor
- Hypertext markup language HTML
- Genome Analysis Toolkit GATK
- Life Technologies SOLiD
- TIBCO Spotfire S+
- PostgreSQL
- Genedata Expressionist
- Biomatters Geneious
- Velvet
- R
- UNIX
- The MathWorks MATLAB
- SAS
- Roche 454 Life Sciences GS Data Analysis
- dbSNP
- Practical extraction and reporting language Perl
- Python
- Relational database management software
- Structured query language SQL
- Tibco S-PLUS
- Microsoft Excel
- Microsoft Visual C#
- Ruby
- TopHat
- Accelrys Pipeline Pilot
- DNA sequencing software
- GenBank
- Bowtie
- ClustalW
- GenePattern
- Bioconductor
- Web browser software
- C
- Linux
- Public genomic databases
- BLAT
- JavaScript
- ENSEMBL
- Apache Hadoop
- Celera Assembler
- Extensible markup language XML
- BWA
- RNA sequencing software
- Primer3
- Oracle Java
- BioPerl
- NCBI RefSeq
- C++
- MySQL