Research Scientist in Mathematics - Biocomplexity
Job location: Charlottesville, VA
Employment Type: Full-time
Posted data: 2021-01-21
The Mathematical Division of the Biocomplexity Institute & Initiative at the University of Virginia seeks a Research Scientist to join our collaborative, team-science-oriented group.
The Biocomplexity Institute integrates leading edge scientific research – from genetic sequencing to policy analysis – to tackle the complex task of understanding massively interacting systems and predicting solutions to issues impacting human health, well-being, and habitat. We collaborate across many disciplines to discover connections between health, information networks, security, and infrastructure. The foundation of our methodology lies in information biology: the synthesis of mathematics, computation, informatics, and biology. We approach complex problem solving by assembling teams of experts in a variety of fields to work together to create solutions that challenge the very fields in which the teams operate.
To learn more about the Institute, visit: https://biocomplexity.virginia.edu/. The UVA Biocomplexity Institute is located in the UVA Research Park at 994 Research Park Boulevard, Charlottesville, VA. Due to the current conditions as a result of COVID-19, this position is expected to begin on a teleworking basis with the expectation to work onsite when it is deemed safe to do so.
The completion of a Ph.D. in Mathematics or a master’s degree with significant experience is required. In addition, qualified applicants will have:
- The ability to lead small groups and work without additional supervision once objectives are defined and methods of approach are set
- Excellent oral and written communication skills with the ability to present at professional meetings
- Graduate course level understanding in algebra and algebraic topology as well as combinatorics
- The ability to acquire quickly new methodologies and fields
- Be open to interdisciplinary work and the ability to communicate with biologists
The position will remain open until filled. Applications will be reviewed beginning February 9, 2021.
Complete an application online through Workday and attach the following:
- Current CV
- Cover letter
- Contract Information of three (3) references
***Please note that you MUST upload multiple documents into the CV/Resume box. Applications that do not contain all the required documents will not receive full consideration. ***
Process for External Applicants: Please apply through Workday, and search for R0021376. Process for Internal UVA Applicants: Please apply through your Workday Home page, search “Find Jobs,” and search for ‘R0021376.’
Questions related to the positions may be directed to Savanna Galambos, Special Assistant for Administrative Affairs, email@example.com. Questions regarding the application process should be directed to Michele Jarman, firstname.lastname@example.org.
This is an Exempt level, benefit-eligible position. All roles within the institute are restricted positions and are dependent upon project need, availability of funding, and performance. This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings and programs.
The University will perform background checks on all new hires prior to employment. This position also requires an Education Verification (FSAKA).
The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.