Will “Director of Translation and Experimental Medicine Bioinformatics” 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…

Tasks for “Director of Translation and Experimental Medicine Bioinformatics”

Test new and updated bioinformatics tools and software.
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.
Prepare summary statistics of information regarding human genomes.
Collaborate with software developers in the development and modification of commercial bioinformatics software.
Analyze large molecular datasets such as raw microarray data, genomic sequence data, and proteomics data for clinical or basic research purposes.
Recommend new systems and processes to improve operations.
Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms.
Manipulate publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases.
Create or modify web-based bioinformatics tools.
Create novel computational approaches and analytical tools as required by research goals.
Provide statistical and computational tools for biologically based activities such as genetic analysis, measurement of gene expression, and gene function determination.
Develop data models 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.
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.
Improve user interfaces to bioinformatics software and databases.
Confer with departments such as marketing, business development, and operations to coordinate product development or improvement.
Develop new software applications or customize existing applications to meet specific scientific project needs.
Keep abreast of new biochemistries, instrumentation, or software by reading scientific literature and attending professional conferences.

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Celera Assembler
MySQL
Life Technologies SOLiD
Oracle Java
TIBCO Spotfire S+
Microsoft Excel
Web browser software
Genedata Expressionist
DNA sequencing software
C++
R
Linux
Biomatters Geneious
Microsoft Visual C#
ClustalW
GenBank
dbSNP
Cufflinks
Structured query language SQL
BioPerl
Primer3
Genome Analysis Toolkit GATK
Extensible markup language XML
Apache Hadoop
Python
BLAT
Roche 454 Life Sciences GS Data Analysis
Practical extraction and reporting language Perl
NCBI RefSeq
TopHat
PostgreSQL
Public genomic databases
Relational database management software
SAS
Velvet
Tibco S-PLUS
Ruby
The MathWorks MATLAB
GenePattern
Bowtie
RNA sequencing software
C
UNIX
Life Technologies Vector NTI
Illumina Laboratory Information Management System LIMS
Hypertext markup language HTML
PHP: Hypertext Preprocessor
Bioconductor
Accelrys Pipeline Pilot
BWA
ENSEMBL
JavaScript