About Virginia Tech:
Virginia Tech is a public land-grant university, committed to teaching and learning, research, and outreach to the Commonwealth of Virginia, the nation, and the world. Building on its motto of Ut Prosim (that I may serve), Virginia Tech is dedicated to InclusiveVT—serving in the spirit of community, diversity, and excellence. We seek candidates who adopt and practice the Principles of Community, which are fundamental to our on-going efforts to increase access and inclusion, and to create a community that nurtures learning and growth for all of its members. Virginia Tech actively seeks a broad spectrum of candidates to join our community in preparing leaders for the world.
The Biocomplexity Institute of Virginia Tech is dedicated to world-class research in extreme scale agent-based computational modeling of socio-economic and biological data using network dynamics and sciences. BI integrates transdisciplinary computational and experiential science in a modern team science environment where progress means embracing complexity, finding solutions that can scale from biomolecules to social policy. The institute seeks two faculty leadership positions at the (research) professor or associate professor level.
About the Positions. To support the growth of its transdisciplinary research portfolio, BI is seeking team oriented, visionary researchers to provide leadership and strategic focus to develop fundable research programs. The successful candidates will hold the rank of associate or full professor (or research associate or research full professor) based solidly on exceptional research accomplishments including an active, extramurally-funded research program that will complement the institute's strengths. The successful candidates will be fully engaged in leading transdisciplinary research aimed at solving complex informatics based problems in the life sciences, social sciences and human health.
Accomplished faculty with computational or experiential research programs are encouraged to apply. Faculty working in the area of extreme scale agent-based complex bio-social and socio-economic systems are of particular interest. A competitive allowance for start up and operational support will be considered. The transfer of intact research teams is encouraged.
Based on the successful candidate's experience and credentials, tenured appointments with appropriate academic departments at Virginia Tech will be considered; such appointments require approval by the relevant department faculty committees and university officials. Alternatively, appointments may be made as non-tenure track Research Faculty, with the rank appropriate to the individual's qualifications and experiences, such as associate or full research professor. For more information on the University faculty ranks, please consult the Faculty Handbook located at http://www.provost.vt.edu/faculty_handbook/faculty_handbook.html.
In accordance with university policy for non-student positions, this position will require a conviction check.
- Ph.D. in computer science, engineering, biotechnology, mathematics, statistics, life sciences, microbiology, genetics, or related field with a biological, social science or human health focus.
- Reputation as an accomplished leader in the development of key research programs complementing BI's research mission.
- Experience leading and mentoring in a diverse, team science environment as a principal investigator or co-principal investigator.
- Credentials consistent for appointment to rank of associate or full professor (or research associate or full research professor).
- Demonstrated record of high-quality peer-reviewed publications and the ability to successfully develop fundable research programs.
- Articulate leader who can relate to people at all levels of an organization and possesses excellent communication and negotiation skills.
- Ability to serve as a mentor providing strategic direction to research program staff.
- Evidence of exceptional performance on extramurally funded collaborative research efforts, preferably in complex systems science, life science, social science, or human health with a shared informatics perspective.
- Experience with high-volume data generation, visualization and analysis.
- Experience working closely with scientific information technology personnel.
- Experience working in an academic high performance computing environment, with large scale proposal development, and in collaborations with government, corporate, and foundation research partners.
-Experience leading large-scale complex projects.
Employee Category: Research Faculty
Appointment Type: Regular
Tenure Status: Non-Tenure Track
Percent Employment: Full-time
Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, gender, gender identity, gender expression, national origin, political affiliation, race, religion, sexual orientation, genetic information, or veteran status; or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees, or applicants; or any other basis protected by law.
For inquiries regarding non-discrimination policies, contact the executive director for Equity and Access at 540-231-2010 or Virginia Tech, North End Center, Suite 2300 (0318), 300 Turner St. NW, Blacksburg, VA 24061.
Review Date: 12/05/2016