Biological data analyst

To arrive here, I brought over 16 years of experience in scientific research. My trip began after earning a bachelor's degree in pharmaceutical sciences to be certified as a pharmacist. I started my practical life as a hospital pharmacist along with a part-time job in community pharmacies. However, my passion for science was the major incentive to start my master's in 2002 in pharmaceutical/clinical microbiology where I gained diverse experiences in diagnostic microbiology and scientific data analysis. The beautiful thing when working in science, you can't stop the gear of passion. Consequently, I earned my Ph.D. in the same specialty that enabled me to apply advanced molecular and bioinformatic techniques to deeply understand the underlying mechanisms of antibiotic resistance exhibited by bacterial human pathogens. The second move was how to convey what I have learned in my postgraduate studies to future medical school students. Thankfully, I have been hired as a faculty member in a newly constructed private university to teach microbiology and biotechnology to pharmacy students. Afterward, I moved to a public university where I could launch my research projects and bring novel ideas to the community.
Shifting to explore the culture-dependent and -independent plant microbiome was a real turning point in my life. I started these wonderful projects in 2014 in Canada as a postdoctoral fellow at the University of Guelph. From human pathogens to plant probiotics! Great move, and New experience. With the advent of next-generation sequencing (NGS), biological data analysis becomes an urgent need to translate the output of these technologies into proper decisions. Consequently, my role exceeded the lab hands-on practices to perform the bioinformatic analyses of generated sequences. To reach to meaningful insights, I gathered and utilized all my computer and bioinformatics skills (command-line, Qiime2 platform, Bactopia, SQL, R, and Python programming languages).

Work Terms

I have a flexible work schedule since I am engaged in different international projects worldwide. I prefer to work by hour, where biological data analysis could be split into different stages including gathering, assessing, cleaning, statistical analysis, and visualization.
For gathering data, one hour costs $10.
For assessing data, one hour costs $20.
For data cleaning, one hour costs $20.
The cost for statistical analysis is estimated separately according to the objectives and the needed programs for the analyses. Generally, one hour in statistical analysis costs $25.
With regard to data visualization, the cost per figure is $15, however, for compound figures, it is better to negotiate with the client.
My preferred communication style is e.mail to follow up on the progress in data analysis. However, it is better to arrange for a virtual meeting online using whatever convenient chatting programs (e.g., Zoom, Slack, MicrosoftTeam, .....) for the clients. That would be for the first meeting with the clients to get oriented with the project, the needed work, and a clear agreement to start the project. Furthermore, we may arrange for more virtual meetings, and the clients are welcome to text me at any time via WhatsApp and I will get back to them as soon as possible.
I also offer writing a conclusive report after finishing the project for $10 per page.
I accept money transfer via PayPal and Western Union service. I will be providing the needed information for that at the time of payment.
These terms are subjected to changes based on the size of the project and any potential updates.