A growing number of life sciences research studies rely on bioinformatics and data analysis to reveal insights into genomics, proteomics, and other types of high-throughput data. 
There is also a need of hands-on experience with laboratory techniques such as PCR, CRISPR, and cell culture etc. 
Are there any specific lab techniques or software skills that are in high demand right now for the field of life sciences? 
Data Analysis & Bioinformatics – Essential for genomic and clinical research.
AI & Machine Learning in Biology
I’ve noticed a growing demand for skills like CRISPR gene editing, single-cell RNA-seq, and flow cytometry in the life sciences field. On the software side, tools like Python, R, GraphPad Prism, and ImageJ are becoming essential, especially for data analysis and bioinformatics.
AI is playing an increasing role in sample analysis, managing lab data and improving diagnostic accuracy.It especially useful in areas like image recognition for pathology slides and helps better in Diagnostics.
In my opinion, the following areas are of great potential:
Genomics - more and more scope in coming times.
Biotechnology - same as above for genomics
Clinical research- is always relevant and will remain so. Skills in
For me I think nowadays Biotechnology.l, medical coding, clinical research and are in High demand because they are slowly slowly developing in india
The field of structural bioinformatics is quite expanding.
On the software side, working with huge amounts of genetic data can be beneficial from knowledge with data analysis tools, coding and bioinformatics platforms.
In today’s life sciences field, hands-on lab skills like PCR, CRISPR, cell culture, and flow cytometry are in high demand, especially in areas like genetics and drug research. At the same time, knowing how to work with data using tools like Python, R, or platforms like Bioconductor and BLAST is equally important. Being able to connect what happens at the lab bench with insights from data analysis gives researchers a real edge.
They are many