Here is a list of tasks that Bioinformatics Scientists do every day. Analyze large molecular datasets such as raw microarray data, genomic sequence data, and proteomics data for clinical or basic research purposes. Manipulate publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases. Chief Data Officer (CDO) and head of data sciences is the most advanced job title in a data scientist’s career path. As per market trends, 59% of chief data officers report to a business leader. Also, 80% of the top stakeholders’ chief data officers support are businesspeople. A typical day for me varies, but rotates around doing biological research (setting up experiments, doing cell culture, prepping human/mouse tissue, etc.), maintaining the mass spec, and doing what you would do as a data scientist (cleaning data, writing code, figuring out how to interpret this data, visualizing the data, etc.). Being a data scientist is much more than simply churning models with lot of math! This video breaks down and explains the tasks in the typical day of a data scientist : Communicating with stake holders; Analyzing data; Designing the end to end data pipeline; Building models; Tuning models; Testing and debugging; Evaluating models; Measuring metrics .

typical day of a data scientist