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Market Research Report

Emerging Jobs in Life Sciences and What You Should Be Training for Now

Published by BCC Research Product code 797424
Published Content info 15 Pages
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Emerging Jobs in Life Sciences and What You Should Be Training for Now
Published: February 28, 2019 Content info: 15 Pages
Description

Report Highlights:

To develop and more importantly to improve current technologies, the market needs a pipeline of talent: well-educated and skilled scientists. Today, a new graduate or scientist with an immunology background will have a strong advantage in the market.

The market for NGS applications reached $2.7 billion in 2016 and is expected to expand to $10.5 billion by 2022.

The expanding biotech market offers a variety of careers. In some cases, we need to be creative and see behind the obvious scientific path.

Report Scope:

Finding the right career path is one of the biggest challenges in every person's life. We want to make sure we make the right choices and decisions concerning our future employment opportunities. And it's no longer a one-time decision. Employment conditions and opportunities are not constantly evolving and this requires us to update our skill set and knowledge base on a continual basis.

This analysis of current and emerging trends in the market can be helpful in making the right decision based on your personality, education and other skills. In our dynamic and constantly evolving world, in order to succeed, a person needs to understand what potential future directions the job market might take and how novel technologies will affect the need to change one's career track or train for a new career path.

Trends described below will help readers navigate the evolving biotech market to choose the right direction.

Immuno-oncology, a Future in Cancer Treatment

It is obvious that the immune approach to treat cancer or so-called cancer immunotherapy has become "the next big thing." Recent drug development trends show that immunotherapy can be more effective and efficient than traditional chemotherapies.

Cancer immunotherapy/immuno-oncology is defined as artificial stimulation of the immune system to treat cancer, thus improving one's natural ability to fight this disease. This approach exploits the fact that cancer cells have specific tumor antigens that can be detected by the antibody proteins of the immune system. Normal antibodies bind to external pathogens; however, modified immunotherapy antibodies bind to the tumor antigens. This helps the immune system to inhibit or kill cancer cells.

Repot Includes:

  • An overview of the emerging and growing trends in life science/biotech industry as potential career track
  • Why understanding CRISPR technology can be an important skill in career development
  • Information on genomics data management and its role in creating jobs for genomics and genetics specialized students
  • Coverage of artificial intelligence and drug discovery job market
  • Insights of nanotechnology applications and evaluation of their role in biomedical engineering jobs
  • List of potential career pathways for biotech/pharma professionals
Table of Contents
Product Code: BIO186A

Table of Contents

Chapter 1: Emerging Jobs in Life Sciences and What You Should Be Training for Now

  • Immuno-oncology, a Future in Cancer Treatment
  • CRISPR: Technology, Ethics and Potential Expanding Market
  • Genomic Data Sequencing and Data Management
  • Artificial Intelligence, New Direction in Drug Discovery
  • Nanotechnology and 3D Printing
    • Nanotechnology
    • 3D Printing
  • Neurobiology, a Market with Unmet Needs
  • Summary and Conclusion

Chapter 2: References

List of Tables

  • Table 1: Examples of Companies Applying Artificial Intelligence in Drug Discovery
  • Table 2: Examples of Potential Career Pathways in Emerging Biotech Markets

List of Figures

  • Figure 1: Immunotherapy Options in Cancer Treatment
  • Figure 2: Schematic Presentation of CRISPR Technology
  • Figure 3: Total Number of Publications Related to CRISPR Technology, 2014-2018
  • Figure 4: Application of Artificial Intelligence in Drug Discovery and Development
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