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