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