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