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