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