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