| Literature DB >> 30062188 |
Michael R Bristow1, Leslie A Leinwand2,3, Eric N Olson4.
Abstract
Because they are perceived as distinct from the biological sciences, entrepreneurial pursuits may be daunting to the average researcher. In this report, we explain why academic scientists and in particular translational researchers should be naturally as well as rationally attracted to entrepreneurial endeavors. We go into some detail of how entrepreneurial achievements are actually accomplished and offer a few caveats for consideration when embarking down entrepreneurial pathways. We conclude that, although not for everyone, for translational investigators in the biologic sciences, entrepreneurial pursuits are desirable, accomplishable, and professionally rewarding.Entities:
Keywords: IP, intellectual property; Life Sciences start-ups; VC, venture capital(ist); VCFU, venture capital fundable unit; academic entrepreneurialism; biotechnology; intellectual property
Year: 2018 PMID: 30062188 PMCID: PMC6058957 DOI: 10.1016/j.jacbts.2017.10.004
Source DB: PubMed Journal: JACC Basic Transl Sci ISSN: 2452-302X
Selected Reasons for an Academic Scientist Becoming Engaged in Entrepreneurial Activities
| Benefits of Entrepreneurial Activities | |
|---|---|
| Potential Positive Outcomes | Avoidance of Negative Career Obstacles |
Improving societal health, through increasing the probability of commercializing discovery | Potential release from the typical academic career path |
Creation of additional sources of funding, allowing for grant-independent research support | Elimination of dependence on the academic system |
Potential of favorably influencing the scientific field | Escape from monotonous and repetitive work routines |
Exposure to new research techniques and areas | |
Opportunity to experience and learn nonscientific skill sets | |
Job creation | |
Generation of investor and institutional return on investment | |
Positive effects on personal mental health through creation of an interesting, new challenge and an alternative career path | |
Source of personal revenue, relieving pressure to generate academic institutional salary support | |
Figure 1Career Paths Available to the Academic Scientist
Traditional and nontraditional/entrepreneurial career paths available to academic scientists. Dept = department; DH = division head; IP = intellectual property; Sr = senior.
Why Academic Scientists Are Natural Entrepreneurs
| Thrive on uncertainty, do not require predictability for optimal function |
| Not bound by rigid goals, able to quickly adapt to changing circumstances |
| Effective in the |
| Like to think big |
| Inherently optimistic |
| Not afraid to fail |
| Are essentially small businesspersons living by their wits |
Figure 2Major Steps in Formation of a Biotech Start-Up
General process of converting intellectual property (IP) to a minimum venture capital fundable unit (VCFU) capable of developing the IP. 3rd = third; TTO = Technology Transfer Office.
Factors Influencing Success of Biotechnology Start-Ups
| Intellectual property |
| Founders |
| Capital availability |
| Management and company strategy, including practicality of the scientific plan |
| Tactics and company execution |
| Geographic location |
| Sector and general economic cycles |
| Luck/serendipity |
Favorable Characteristics of Academic Founders of Biotechnology or Device Start-Ups
| Ideally should be at/close to the top or clearly headed for the top of their scientific field |
| Reputation for effective collaboration; should not be considered a difficult co-worker |
| Stellar ethical reputation; should not be controversial |
| Willing to commit long-term to the mission of the start-up |
| Open to sharing the responsibilities and recognition with co-founders and senior management; “team player” |
Figure 3Distribution of VC Investment Deals Versus ROI in Investment Multiples
Return on invested capital (ROI) in life sciences start-ups: the y-axis shows the percentage distribution of start-ups; the x-axis shows multiples of original investment by venture capital (VC) companies. First percentage number (blue) in Failure/Neutral/Success designation is from the 1990 to 1999 dataset; the second number (black) is from 2000 to 2009.