Ten simple rules in considering a career in academia versus government
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{"title"=>"Ten simple rules in considering a career in academia versus government", "authors"=>[{"first_name"=>"Philip E.", "last_name"=>"Bourne", "scopus_author_id"=>"35458582500"}], "year"=>2017, "source"=>"PLoS Computational Biology", "identifiers"=>{"issn"=>"15537358", "isbn"=>"1111111111", "pmid"=>"28981499", "scopus"=>"2-s2.0-85032727966", "pui"=>"619081501", "doi"=>"10.1371/journal.pcbi.1005729", "sgr"=>"85032727966"}, "id"=>"b3d2436a-66c3-3d5e-bbcc-352a952f1306", "abstract"=>"This article is focused on a career point at which a higher degree is in hand—perhaps along with some practical experience—and it is time to make a career decision. One such decision might be between an academic scientific research career versus a non-research career in gov-ernment service. There are many other opportunities, of course, and industry versus academia has been well covered previously in this series [1]. With federal research funding as limited as it is, early-career scientific researchers are increasingly looking at nonacademic pathways; gov-ernment service is one option. An example choice might be between accepting a postdoctoral fellowship or tenure track assistant professorship versus becoming a program officer for a funding agency, working in government relations, or working in government policy develop-ment. Obviously, these are only a couple of the many career choices available in academia and government. These rules are meant to be as generic as possible by recognizing the broad simi-larities and differences that exist in the 2 work environments. The rules do not cover the obvi-ous differences, such as the ability to teach in academia but likely not in government. As indicated, academic research and government service both cover large amounts of career territory. While trying to be as evenhanded as possible between these 2 career paths, undoubt-edly, bias stemming from my own experience creeps in, and it is important to understand from where my perspective derives. I have spent most of my career in academia as both a pro-fessor and a university administrator. More recently, I spent 3 years in the United States fed-eral government, where I had both an administrative and research role, both in biomedicine. My experience is far from that needed to provide a complete picture of career options. For example, it does not address government service, federal or state, outside of the US. Nor does it truly address the myriad of options outside of working for a government funding agency focused on biomedical research. More problematic is having worked 3 years in government versus over 40 years in academia. Undoubtedly, it is a different article than if I had spent 40 years in government service and 3 recent years in academia. Keeping in mind these limitations and the fact that I have been strongly influenced by the excellent reviews of the first version of this article, what follow are the rules I have to offer, rules which are made as generic as I know how. Remember also that career options are not for life, and experience in government can be very useful to furthering a career in academia and vice versa. This is something that I can attest to, and which I try to capture.", "link"=>"http://www.mendeley.com/research/ten-simple-rules-considering-career-academia-versus-government", "reader_count"=>30, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>2, "Librarian"=>1, "Student > Doctoral Student"=>1, "Researcher"=>6, "Student > Ph. D. Student"=>8, "Student > Master"=>7, "Student > Bachelor"=>3, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>2, "Librarian"=>1, "Student > Doctoral Student"=>1, "Researcher"=>6, "Student > Ph. D. Student"=>8, "Student > Master"=>7, "Student > Bachelor"=>3, "Professor"=>1}, "reader_count_by_subject_area"=>{"Engineering"=>5, "Unspecified"=>3, "Environmental Science"=>3, "Biochemistry, Genetics and Molecular Biology"=>6, "Mathematics"=>3, "Agricultural and Biological Sciences"=>6, "Neuroscience"=>1, "Pharmacology, Toxicology and Pharmaceutical Science"=>1, "Computer Science"=>2}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>5}, "Neuroscience"=>{"Neuroscience"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>6}, "Computer Science"=>{"Computer Science"=>2}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>6}, "Mathematics"=>{"Mathematics"=>3}, "Unspecified"=>{"Unspecified"=>3}, "Environmental Science"=>{"Environmental Science"=>3}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>1}}, "group_count"=>0}

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