"Bioinformatics Scientist"

Job Description - Part 1 - Duties and Tasks

Basic 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.

Part 1
Duties / Tasks Part 2
Activities Part 3
Skills Part 4
Abilities Part 5
Knowledge

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Job Duties and Tasks for: "Bioinformatics Scientist"

1) Recommend new systems and processes to improve operations.

2) Keep abreast of new biochemistries, instrumentation, or software by reading scientific literature and attending professional conferences.

3) Confer with departments such as marketing, business development, and operations to coordinate product development or improvement.

4) Collaborate with software developers in the development and modification of commercial bioinformatics software.

5) Test new and updated bioinformatics tools and software.

6) Provide statistical and computational tools for biologically based activities such as genetic analysis, measurement of gene expression, and gene function determination.

7) Prepare summary statistics of information regarding human genomes.

8) Instruct others in the selection and use of bioinformatics tools.

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9) Improve user interfaces to bioinformatics software and databases.

10) Develop data models and databases.

11) Create or modify web-based bioinformatics tools.

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12) Create novel computational approaches and analytical tools as required by research goals.

13) Direct the work of technicians and information technology staff applying bioinformatics tools or applications in areas such as proteomics, transcriptomics, metabolomics, and clinical bioinformatics.

14) Develop new software applications or customize existing applications to meet specific scientific project needs.

15) Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms.

16) Compile data for use in activities such as gene expression profiling, genome annotation, and structural bioinformatics.

17) Communicate research results through conference presentations, scientific publications, or project reports.

18) Manipulate publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases.

19) Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.

20) Analyze large molecular datasets such as raw microarray data, genomic sequence data, and proteomics data for clinical or basic research purposes.