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