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