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