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”
- 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.
- Compile data for use in activities such as gene expression profiling, genome annotation, and structural bioinformatics.
- Create novel computational approaches and analytical tools as required by research goals.
- Create or modify web-based bioinformatics tools.
- Keep abreast of new biochemistries, instrumentation, or software by reading scientific literature and attending professional conferences.
- Test new and updated bioinformatics tools and software.
- Communicate research results through conference presentations, scientific publications, or project reports.
- 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 data models and databases.
- Instruct others in the selection and use of bioinformatics tools.
- Collaborate with software developers in the development and modification of commercial bioinformatics software.
- Improve user interfaces to bioinformatics software and databases.
- 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 new software applications or customize existing applications to meet specific scientific project needs.
- Recommend new systems and processes to improve operations.
- Confer with departments such as marketing, business development, and operations to coordinate product development or improvement.
- 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.
Related Technology & Tools
- Personal computers
- Laptop computers
- Desktop computers
- Computer laser printers
- Computer data input scanners
- ENSEMBL
- Biomatters Geneious
- GenePattern
- PHP: Hypertext Preprocessor
- Roche 454 Life Sciences GS Data Analysis
- SAS
- ClustalW
- Microsoft Excel
- Hypertext markup language HTML
- DNA sequencing software
- Cufflinks
- GenBank
- Web browser software
- RNA sequencing software
- C
- Genome Analysis Toolkit GATK
- Bioconductor
- BLAT
- Life Technologies Vector NTI
- Primer3
- Accelrys Pipeline Pilot
- Tibco S-PLUS
- TopHat
- BWA
- The MathWorks MATLAB
- PostgreSQL
- NCBI RefSeq
- Celera Assembler
- C++
- Python
- Illumina Laboratory Information Management System LIMS
- Life Technologies SOLiD
- Extensible markup language XML
- Practical extraction and reporting language Perl
- Public genomic databases
- BioPerl
- Relational database management software
- Apache Hadoop
- Structured query language SQL
- TIBCO Spotfire S+
- Oracle Java
- Genedata Expressionist
- Velvet
- UNIX
- MySQL
- Ruby
- Linux
- R
- dbSNP
- Microsoft Visual C#
- Bowtie
- JavaScript