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