Modern research incorporates a variety of scientific and mathematical disciplines. Are you fascinated by the interplay between biology, computer science, and statistics?Cognitive learning theory in the classroom recently, we’ve been spotlighting non-traditional and uncommon careers within life science industries. We interviewed gaius augustus, a phd candidate at the university of arizona, who is a participant in their cancer biology graduate interdisciplinary program.Cognitive learning theory in the classroom he is also a bioinformatician, who regularly incorporates epidemiological data into his work. Gaius clearly describes the complex field of bioinformatics along with its practical applications.Cognitive learning theory in the classroom

I actually started my career as an artist. I was trained in the fine arts and video production. I later decided to return to school for science, and worked in two labs during my undergrad.Cognitive learning theory in the classroom my research there focused on evolutionary development and plant population genetics. My focus has always been on integration of different fields of research, and my bachelor's degree is actually in integrative studies with a focus on chemistry and biology.Cognitive learning theory in the classroom

Science at its core is the study of patterns in nature. What I love about bioinformatics is that it allows us to look at patterns that are hidden within huge amounts of data.Cognitive learning theory in the classroom we have 3 billion base pairs in our genomes, and that information is incredibly complex. It's impossible to process that data manually. Bioinformatics allows us to try to make sense of it, but it becomes even more powerful when you can connect it to community data through epidemiology.Cognitive learning theory in the classroom for example, if you have both incidence reports and access to patient tissue, you can ask questions about longitudinal trends that you can't with just one set of data.Cognitive learning theory in the classroom

The field of bioinformatics is incredibly important right now because there are huge amounts of genomic data that has not been fully analyzed.Cognitive learning theory in the classroom in my phd, I did almost no data collection, as the data was already available. It just needed to be processed and analyzed. Being able to incorporate epidemiological, clinical and demographic data into a bioinformatic analysis can strengthen our ability to find trends that we wouldn't see otherwise.Cognitive learning theory in the classroom

It's becoming more common to incorporate some environmental and demographic information into genomic studies, or vice versa. The best example is probably the studies that incorporate ancestry informative markers (aims) into their study, which allows a less biased approach to determining ancestry than self-report.Cognitive learning theory in the classroom but we could still do better. I hope that in the future, we'll see studies that incorporate diet, environmental exposures, socioeconomic status and zip code into the data collection process.Cognitive learning theory in the classroom

Bioinformatics is an interesting field because we are in need of people to analyze all this data that's being and has been collected. A bioinformatician is a biologist, a computer scientist and a statistician, so there's this steep learning curve that many struggle to get through.Cognitive learning theory in the classroom for this reason, my experience has been that if you can get over that hurdle and learn to do all three competently, you won't find it difficult to enter the field.Cognitive learning theory in the classroom the hard part is the upfront learning and integration of that knowledge. If you also have the foresight to incorporate epidemiological, demographic or clinical data into your bioinformatics analyses, you'll find an even broader range of applicable work.Cognitive learning theory in the classroom

Get started today. You can begin learning the bioinformatic and statistical basics relatively inexpensively. Learn to code proficiently in the command line, R and python.Cognitive learning theory in the classroom read lots of studies and learn how to identify gaps in knowledge. Find public data sets and start playing around with them, both getting the data in different formats as well as asking and answering questions about trends you see in the data.Cognitive learning theory in the classroom I also think that machine learning is quickly becoming an essential skill in bioinformatics, so add that tool to your skillset once you've got the basics down.Cognitive learning theory in the classroom

A bioinformatician utilizes different fields of science and mathematics to study diseases and their demographical aspects. If you have an interest in epidemiology, computer science, and statistics, this career might be worth exploring.Cognitive learning theory in the classroom analysis of data is at the core of a bioinformatician’s role, and other scientists rely on them to help explain the answers to complex questions.Cognitive learning theory in the classroom does a position solving scientific puzzles sound like a fit for you? If so, think about speaking to a bioinformatician for more details.