Explore ways to build a career in Bioinformatics

Explore ways to build a career in Bioinformatics

Take this idea into account: In the last two years, 90% of all existing data have been generated. And according to IBM, 2.5 million terabytes of data are generated every day, with 1 terabyte of data being kept on an average computer.

This explains partly why areas such as data science and bioinformatics are seen as hot and sexy new fields to work in.

Usually, the term big data is used to describe — surprise! — large volumes of data, both structured and unstructured. This means information generated by an organisation, such as sales figures, website clicks, etc. It can include this information in biopharmaceuticals, but it increasingly involves large quantities of genetic data and other biological and health information.

careers in bioinformatics

Which is where the bioinformatics and data science comes into the picture. There are so many data to be used now that people with a background in life science need to specialise in data analysis and manipulation.

Bioinformatics V/S Data Science

Probably the best concept of “bioinformatics” is the processing, analysis and development of biological insights by large-scale genomics. Other words, such as “computational genomics” and “genomic data science,” are sometimes also used.

Data science is a little wider term than bioinformatics without the focus of biological attention: processing and analysis of large-scale datasets to generate insights.

In an article by the data scientist Altuna Akalin in Towards Data Science, which quotes udacity, the data scientist’s key abilities include programming, machine training, statistics, data pooling, data visualisation, and communication, and data intuition which probably involves troubleshooting data analytics-related questions.

In bioinformatics, we are talking about domain-specific data and quality control, general data transformation and filtering, applied statistics and machine learning, domain-specific statistical tools, data visualisation and integration, code-writing (programming) ability, and data-driven insights ability.

Facts & Figures: Bioinformatics

A report, ‘Global Bioinformatics Market Study Asia for Witnessing Fastest Growth in 2020,’ recently published by Persistence Market Research, which estimated the global bioinformatics market to be $4.110 billion in 2014, but expected to expand by 20. 4 per cent from 2014 to 2020 at a compound annual growth rate (CAGR), reaching $12.542 billion in 2020.

The World Economic Forum Future of Jobs Survey 2018 estimates that 85% of companies surveyed are likely to take Big Data Analysis or will very likely take it. The report also pointed out that “the industrial revolution is to create 133 million new jobs and 75 million jobs are to be destroyed by 2020.”

And yeah, you guessed it right, in the fields of data science and bioinformatics there are many of the new jobs. Indeed, ‘data analysts and researchers’ were the top 10 job winners, followed by ‘artificial intelligence and machine learning experts,’ ‘big data specialists’ and ‘digital transformation specialists’, ‘specialized software and applications developers & analysers’ and ‘information technology services.’

And what are the career prospects for bioinformatics in between 2018-2026? The simple answer to this question is that the overall perspective is good as the demand is greater than the supply. However, it is a good thing to be a scientist in bioinformatics.

Explore ways to build a career in Bioinformatics

Sakshi Sharmahttps://bioinformaticsindia.com
I am a Managing Partner at Bioinformatics India where I write blogs, look after all the partners, and manages the affiliates associated with the website.

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