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