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