Will “Bioinformatics Scientists” be Replaced By Robots? 🤔
Unknown Chance of Automation
Sadly, the research paper did not provide any information about this occupation. Maybe have a look at our directory?
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
Also Known As…
- 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 “Bioinformatics Scientists”
- Provide statistical and computational tools for biologically based activities such as genetic analysis, measurement of gene expression, and gene function determination.
- Develop data models and databases.
- Confer with departments such as marketing, business development, and operations to coordinate product development or improvement.
- Create or modify web-based bioinformatics tools.
- 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.
- 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 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.
- Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms.
- Create novel computational approaches and analytical tools as required by research goals.
- Keep abreast of new biochemistries, instrumentation, or software by reading scientific literature and attending professional conferences.
- Collaborate with software developers in the development and modification of commercial bioinformatics software.
- Instruct others in the selection and use of bioinformatics tools.
- Communicate research results through conference presentations, scientific publications, or project reports.
- Test new and updated bioinformatics tools and software.
- Improve user interfaces to bioinformatics software and databases.
- Recommend new systems and processes to improve operations.
- Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.
- Compile data for use in activities such as gene expression profiling, genome annotation, and structural bioinformatics.
Related Technology & Tools
- Computer laser printers
- Laptop computers
- Personal computers
- Desktop computers
- Computer data input scanners
- RNA sequencing software
- BLAT
- TopHat
- Python
- UNIX
- Tibco S-PLUS
- NCBI RefSeq
- Roche 454 Life Sciences GS Data Analysis
- Public genomic databases
- Life Technologies Vector NTI
- Celera Assembler
- ClustalW
- BWA
- GenBank
- TIBCO Spotfire S+
- Microsoft Excel
- Oracle Java
- SAS
- GenePattern
- Primer3
- Relational database management software
- PostgreSQL
- Apache Hadoop
- Velvet
- Genedata Expressionist
- C
- Bowtie
- Accelrys Pipeline Pilot
- Cufflinks
- The MathWorks MATLAB
- Illumina Laboratory Information Management System LIMS
- Microsoft Visual C#
- Linux
- Practical extraction and reporting language Perl
- C++
- Extensible markup language XML
- Genome Analysis Toolkit GATK
- Ruby
- DNA sequencing software
- dbSNP
- Biomatters Geneious
- Life Technologies SOLiD
- Hypertext markup language HTML
- Web browser software
- PHP: Hypertext Preprocessor
- JavaScript
- ENSEMBL
- MySQL
- Structured query language SQL
- R
- BioPerl
- Bioconductor