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Career Development : Articles
The single most important evidence of productive research in industry is the development of research applications that can return value on shareholders' investments. Tooling Up: Three Categories of Rules
David G.
Jensen Many of my columns here describe difficulties people experience when they discover how different life is in industry than in academia. Each sector has its own rulebook; new graduates often feel they’ve been thrown into the fire when they make the change to a company employer. The conventions at work in industry aren't taught in college. Michael Zigmond of the Department of Neuroscience at the University of Pittsburgh in Pennsylvania runs the highly regarded "Survival Skills and Ethics Program" seminars held each year in Aspen, Colorado. He told me recently that he believes there are three categories of rules that we come across in our work lives. The rules themselves may differ, but Zigmond's categories hold true no matter where you work. "First off, there are rules that are true and which deserve that distinction. In academia, one example of this category would be the rule that ‘Research equals experiments plus publications,’ " Zigmond explained to his class in Aspen. "Another type of rule is one which is true, but which shouldn’t be. Some examples are ‘Always have preliminary data for proposals,’ or ‘Always do hypothesis-driven research.’ Lastly, some rules are not true but should be. ‘Good teaching is essential to promotion’ is an example that I point to from the world of academia, where countless students have wondered how some people have moved up the ranks." Sometimes a rule from the university clashes with a rule from industry. Consider Michael’s first example: Research = Experiments + Publications. Would you land a job at a top-tier biotech company if you went to an interview espousing that as a guiding rule for your career? No way! In industry it looks like this: Research = Experiments + Products. The single most important evidence of productive research in industry is the development of research applications that can return value on shareholders' investments. Most of the time this means products. Although at some point in a well-run research organization you will be able to publish your work, it only ever happens after the company has protected its intellectual property. Three categories of rulesSometimes in this column I point out how a rule really works or make you aware of a rule that you may not have known about. That’s my job here. Sometimes I try to help you learn to work within the rules. And sometimes my columns tell you how to work around the rules. This month, I provide some examples of rules from the biotechnology industry indexed into Dr. Zigmond’s three categories. Studying rules from the three categories will help you come away with a better understanding of how company policy and politics impact life in a company and why, on occasion, it is better to circumvent rules than to follow them. Rules that are true and which should be - "Good communication skills are essential for success in any job."
- "Networking is a great way to find a job."
- "Industry success requires teamwork and interdependence."
Rules that are true but should not be - "It takes a 60-hour work week to be a success in science."
- "It's really hard to find a job once you are over age 45."
- "You generally have to relocate to the coasts in order to find a biotech job."
Rules that are not true but should be - "Evidence of strong leadership skills is required for promotion."
- "Good science always sells itself."
- "Bright scientists have excellent people skills."
Different rulebooks for different environmentsAt a recent AAAS seminar in San Francisco, our invited panel included two of our Science Careers Discussion Forum advisers and two senior executives from the local biotech industry. The goal that night was to discuss the lessons our speakers had learned along the way, what mistakes they had made, and to pass their wisdom along to the younger folks in the audience. The common thread in all the speakers' remarks was that the "rulebook" is different in industry. All these professionals had succeeded, but for every one there was a time in their careers when they were poised between jumping over the wall between academia and industry and falling through the cracks. Only by learning all three types of rules--and how they differ from one job sector to the other--did they navigate the move from an academic lab to an industry job.
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