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