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”
- Direct the work of technicians and information technology staff applying bioinformatics tools or applications in areas such as proteomics, transcriptomics, metabolomics, and clinical bioinformatics.
- Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms.
- 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.
- Provide statistical and computational tools for biologically based activities such as genetic analysis, measurement of gene expression, and gene function determination.
- Improve user interfaces to bioinformatics software and databases.
- Test new and updated bioinformatics tools and software.
- Confer with departments such as marketing, business development, and operations to coordinate product development or improvement.
- Prepare summary statistics of information regarding human genomes.
- Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.
- Develop data models and databases.
- Develop new software applications or customize existing applications to meet specific scientific project needs.
- Communicate research results through conference presentations, scientific publications, or project reports.
- 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.
- Instruct others in the selection and use of bioinformatics tools.
- 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.
- Manipulate publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases.
Related Technology & Tools
- Personal computers
- Desktop computers
- Laptop computers
- Computer laser printers
- Computer data input scanners
- Public genomic databases
- PHP: Hypertext Preprocessor
- Genedata Expressionist
- BioPerl
- GenBank
- Microsoft Excel
- TIBCO Spotfire S+
- Hypertext markup language HTML
- Celera Assembler
- Apache Hadoop
- Python
- Primer3
- BLAT
- R
- Illumina Laboratory Information Management System LIMS
- SAS
- Microsoft Visual C#
- C
- BWA
- Life Technologies Vector NTI
- Linux
- NCBI RefSeq
- TopHat
- Web browser software
- Life Technologies SOLiD
- PostgreSQL
- ClustalW
- Structured query language SQL
- Velvet
- GenePattern
- JavaScript
- ENSEMBL
- MySQL
- C++
- The MathWorks MATLAB
- RNA sequencing software
- Roche 454 Life Sciences GS Data Analysis
- Tibco S-PLUS
- dbSNP
- Bioconductor
- Ruby
- Biomatters Geneious
- Genome Analysis Toolkit GATK
- Oracle Java
- DNA sequencing software
- Extensible markup language XML
- Cufflinks
- Accelrys Pipeline Pilot
- Bowtie
- Practical extraction and reporting language Perl
- Relational database management software
- UNIX