You Might Not Label Yourself a Scientist...

Science isn't what you know, it's how you think

When you think of the concept of high science in pharmaceuticals, what comes to mind?Genetic splicing? Oncology? Clinical trials? Antibodies? Gene therapy?

Truth be told: high science doesn’t have to be as intimidating as it sounds and seems. Let’s break it down. Scientific thinking can be broken down into many different areas, but we’ll focus on eight here.

  1. Purpose: Goal, objective
  2. Question: Problem, issue
  3. Information: Data, facts, observations, experiments
  4. Interpretations & Inferences: Conclusions, solutions
  5. Concepts: Theories, definitions, laws, principles, models
  6. Assumptions: Presupposition, concept or idea that's taken for granted
  7. Implications & Consequences: Morality of study
  8. Points of View: Frame of reference, perspective, orientation, experience

These concepts make up a whole process that begins with a simple trait that most humans naturally have: genuine curiosity. Think back to when you were a child, or when your own children were younger – remember the days of asking question after question simply because you were trying to put together the pieces of the world around you? This is when it all started.

The even more surprising aspect is that even if you don’t feel as though you’re as curious anymore – you most definitely are! You simply have acquired more knowledge than when you started, and rightfully so. You are a scientist, using scientific thinking, in virtually every aspect of your life. Whether it be at work, when you participate in your favorite hobby, go grocery shopping, or study for an exam, you are following the steps of the scientific method.

Now that you have the lowdown on scientific thinking, why don’t you find out what type of scientist you are? Over here at Discovery, we have always maintained our commitment to approaching everything scientifically, but now it’s your turn. Take our fun, interactive quiz so you can determine what kind of scientist you are. Are you more into the big ideas, or are you data-driven? Find out here: