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