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