Entering edit mode
7.2 years ago
Hi
I'm hardcore scientist working in the area of biotechnology and nanotechnology stream. I'm interested to identify real time bioinformatics application and development using some programming skills. What are the programmatic skills which is mostly recommended to start for large genome data and chemical data analysis.
I think to understand the requrements it is a good idea to read some
job-descriptions, like this: Postdoctoral Fellow in Virology, Las Vegas Nevada
these are their tools: "http://bio-toolkit.com/"
Postdoctoral research fellow position at the forefront of digital health revolution, University of Helsinki, Finland
"Our preferred candidate has a strong background in computer science,
systems biology, or bioinformatics. Strong programming skills
and experience with Linux, statistical analysis, and software development are essential."
This one is old, but may be also useful:
A: Bioinformatics/Biotech Firms In India
UCSF Bioinformatics Junior Specialist, Helen Diller Cancer Center
"Gynecologic Oncology tissue bank database management; maintenance of IRB, study protocol and research documents; analysis of RNAseq and exome sequencing output from the UCSF Immunoprofiling pipeline. The candidate will be expected to document analyses and research findings with MS Word, PowerPoint, Excel, and Adobe Photoshop and Illustrator software. Experience with one or more of the following program languages is preferred: R, python or Ruby."
Scientific Software Developer - Cell Factory Design Methods
"The candidate needs to hold a M.Sc. or Ph.D. degree in a STEM (science, technology, engineering, mathematics) field. The candidate should have significant previous experience with the development of scientific software with a strong focus on algorithm development, code optimization, parallel computing, numerical methods etc. Prior experience with modeling large-scale biochemical networks is highly desirable. Experience in analyzing omics data sets (metabolomics, fluxomics, transcriptomics, proteomics etc) is desirable. The candidate should be able to write high-quality, structured and maintainable code. Applicants with knowledge of Python and its scientific programming stack (Numpy, Scipy, scikit-learn, Pandas, Jupyter notebook, etc.) will be preferred. Applicants that utilize modern software development practices, like test-driven development and continuous integration, in their day-to-day work will be preferred. Experience with determining and alleviating computational bottlenecks by re-implementing them in a more efficient language (e.g. C/C++) and making them accessible through language bindings (swig, cython, etc.) is a plus. Familiarity with popular programming languages used by scientists and engineers (Matlab, R, Mathematica, etc.) is a plus. Experience with the basics of web development and databases is not required but a plus."
Job-requirememts depend upon the area.
In my opinion, you are right: perl or python or R would be necessary.
Probably also some database experience, like knowledge of mySQL and/or SQL will be useful.
But biotechnology implies a lot: it may be pure science, medecine, industry
or something on the boundary between any couple. You definitely have to know a lot!
Absolutely no need for all three of those.