In my opinion, as artificial intelligence continues to evolve rapidly, fields like medical writing and regulatory writing are becoming increasingly important. With the development of life-saving treatments and devices, these roles are crucial. Additionally, pharmacovigilance and clinical research are gaining prominence, making them exciting and in-demand areas to explore.
AI in biology and its applications in life sciences can be a game changer.
Yes indeed, bioinformatics is becoming a necessity in life sciences. Specific learning tools such as Python, R, MySQL, Web scraping, and biological data analysis may very well enhance your profile. The abilities serve to interpret large amounts of information in areas like genomics and proteomics, which are now the primary aspects of investigations. No worries that you are starting out now, every little mile you make in learning these tools has some value in your future in this industry.
In life sciences, AI analyzes large datasets, aids drug discovery, improves diagnostics, and personalizes treatments, making research faster and more accurate