Big Data and Jobs for Life Scientists

Posted in BioBusiness

Many recent articles in various publications including the lay media suggest that persons with quantitative skills and a firm grasp of the scientific method will be in high demand in the near future. This is because there is a current data surge coming from “sophisticated tracking of shipments, sales, suppliers and customers, as well e-mail, Web traffic and social network comments.” And, the quantity of business data has been estimated to double every 1.2 years!

According to a 2011 report Big Data: The Next Frontier for Innovation, Competition and Productivity” put together by the McKinsey Global Institute, harvesting, managing, mining and analyzing “big new data sets” can lead to a new wave of innovation, accelerated productivity and economic growth. And, the place where this may be felt first is theUS healthcare system. The report asserts that better management of big data sets can lead to as much as $300 billion in savings. Also, American retail companies could possibly increase their operating profit margins by as much as 60 percent. However, one of the major hurdles to this paradigm shift is a talent and skills gap. TheUS alone will likely need 140,000 to 190,000 with expertise in statistical methods and data-analysis skills. McKinsey also notes that an additional 1.5 million data-literate manages will be required. Accordingly, “Every manager will really have to understand something about statistics and experimental design going forward,” noted one of the report’s authors.

As far as jobs for scientists in the healthcare realm are concerned, the report suggests that

“….the biggest slice of the $300 billion gain is expected to come from more effectively using data to inform treatment decisions. The tools include clinical decision support to assist doctors, and comparative effectiveness research to make more informed decisions on drug therapy.” That said, life scientists with backgrounds in statistical analyses, bioinformatics, genomics, public health, epidemiology and quantitative analysis will be ideal candidates for these new job opportunities.”

While these types of jobs (mainly health informatics) are certain to available in the future, it isn’t clear how soon. This is because the big-data trend has just begun and, according to economists, it may take years to recognize its financial advantages and benefits. In any event, it is something for life scientists who may be considering alternate career options, to think about. To that end, if you begin to train for these opportunities now, you may find yourself in the right place at the right time in the not-to-distant future.

Until next time….

Good Luck and Good Job Hunting!!!!!!