Grant Science Writer, Assistant Professor (in residence) University of Connecticut School of Medicine
A position for an Assistant Professor in residence is open for a science writer that will be intimately involved with enhancement with scientific activities within the UConn Health School of Medicine. The main duty of this position is to provide scientific prose, editing, illustrations, and suggestion in the flow and construction of grant proposals, scientific papers and some effort in education. This effort will be vital to the advancing momentum of the School of Medicine's growing grant portfolio. There will also be a strong commitment in enhancing research article preparation, assembly of research data and teaching materials for presentations, and also aiding in scientific planning as deemed by research leadership. These science enhancing activities may require work on off hours that include nights and weekends as grant deadlines approach.
Job responsibilities:
Writing and editing grant documents, manuscripts, and other research related documents.
Data analysis that includes a wide breadth of technologies and fields.
Create graphics/illustrations, including 3D animations, for grants, manuscripts, and other research related documents.
Work with the educational and outreach component for the school of medicine. This includes: giving seminars to various groups on writing and graphic support, as well as teaching structured writing and graphics classes to graduate and medical students.
Ensure familiarity with federal, state, and private funding opportunities and agencies when writing and editing grant proposals.
Analyze and assist on progress and final reports for externally funded projects.
Qualifications: Minimum requirements are Ph.D. or doctorate degree with at least one year of full-time employment in an academic research setting. Proven data and schematic illustration capabilities are a must. Candidate must have excellent communication skills and possess the ability to work both collaboratively amongst various teams and investigators. The ideal candidate must be able to achieve goals independently, must have a wide breadth of experience in various fields of biomedical sciences, and produce quality work within tight deadlines. Outstanding computer skills, including graphics
is necessary.