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