Will “Scientific Informatics Project 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…

Tasks for “Scientific Informatics Project Leader”

Compile data for use in activities such as gene expression profiling, genome annotation, and structural bioinformatics.
Create or modify web-based bioinformatics tools.
Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.
Analyze large molecular datasets such as raw microarray data, genomic sequence data, and proteomics data for clinical or basic research purposes.
Direct the work of technicians and information technology staff applying bioinformatics tools or applications in areas such as proteomics, transcriptomics, metabolomics, and clinical bioinformatics.
Prepare summary statistics of information regarding human genomes.
Collaborate with software developers in the development and modification of commercial bioinformatics software.
Communicate research results through conference presentations, scientific publications, or project reports.
Provide statistical and computational tools for biologically based activities such as genetic analysis, measurement of gene expression, and gene function determination.
Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms.
Develop new software applications or customize existing applications to meet specific scientific project needs.
Confer with departments such as marketing, business development, and operations to coordinate product development or improvement.
Develop data models and databases.
Keep abreast of new biochemistries, instrumentation, or software by reading scientific literature and attending professional conferences.
Improve user interfaces to bioinformatics software and databases.
Instruct others in the selection and use of bioinformatics tools.
Create novel computational approaches and analytical tools as required by research goals.
Manipulate publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases.
Recommend new systems and processes to improve operations.
Test new and updated bioinformatics tools and software.

Related Technology & Tools

Laptop computers
Computer laser printers
Computer data input scanners
Personal computers
Desktop computers

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