Research Assistant Professor of Biocomplexity (NSSAC)

The Network Systems Science and Advanced Computing (NSSAC) division of the Biocomplexity Institute and Initiative (BII) at the University of Virginia is seeking applications for Research Assistant Professors. BII performs world-class informatics research in life sciences, social sciences, and human health by integrating theory, modeling and simulation with computational and experimental science in a transdisciplinary, team science research environment.

NSSAC is pursuing an advanced research and development program for interaction-based modeling, simulation and associated analysis, experimental design, and decision support tools for understanding large biological, information, social, and technological (BIST) systems. Extremely detailed, multi-scale computer simulations allow formal and experimental investigation of these systems. The need for such simulations is derived from questions posed by scientists, policymakers, and planners involved with very large complex systems. Our team is comprised of a diverse group of researchers from various domains including computer science, cognitive science, mathematics, biology, health science, electrical engineering, and economics. For additional information about NSSAC, visit: ~~~

This position is based in Charlottesville, VA at the UVA Research Park, 994 Research Park Boulevard.

Responsibilities :

• Collaborates with and provides expertise to team science members including students, postdoctoral fellows, faculty, and sponsors;

• Mentors undergraduate, graduate student, and postdoctoral research associates in NSSAC;

• Contributes and collaborates in publication of scientific results in peer reviewed journals, professional conferences and other forums;

• Engages in collaborative work with peers both within the group and outside with the aim to achieve division objectives;

• Routinely communicates research progress with supervisor, peers and other appropriate staff;

• Participates in seeking and preparing grant writing initiatives;

• Participates fully in the intellectual life of the division and institute, and in the building of the division's reputation in research and academics.

All roles within the institute are restricted positions and are dependent upon project need, availability of funding, and performance.

Required Qualifications and Experience :

• Ph.D. in Computer Science, Engineering, Statistics, Bioinformatics, or a related field.

• Credentials equivalent at research assistant professorial rank.

• Ability to excel in a highly collaborative team science environment.

• Computational and analytical skills:

• Significant programming and analytical skills. Ability to seamless learn and adapt to new technologies)

• Skills and experience in advanced Machine learning technologies and high-performance computing.

• Ability to develop or participate in the development of large-scale software systems

• Ability to work on formal methods for analyzing, synthesizing and integrating data, including statistical techniques, ML techniques.

• Communication and team science skills:

• Demonstrated strong communication skills, both oral and written.

• Experience in developing peer-reviewable publications and evidence of publications in peer-reviewed journals.

• Strong work ethic and ability to work individually as well as within high-performing and diverse team structures.

Preference will be given to candidates that are collaborative in nature across disciplines and would complement or expand the division's current strengths.

Candidates will be expected to provide the following materials as part of their initial application

• A cover letter

• A curriculum vitae

• Names of three references

References may be contacted for a written letter of recommendation at a later point in the application process with a deadline by which to submit their recommendations. Please notify recommenders that incomplete applications cannot be further considered.

Questions related to the position may be directed to Madhav Marathe, Division Director and Search Chair, at ~~~

Please apply through Interfolio: ~~~

Please rovide a statement of contributions or potential contributions to the UVA Health ASPIRE values: ~~~

This position will remain open until filled. This is an Exempt level, benefited position. The University will perform background checks and a health screen on all new hires prior to employment. For questions about the position or the application process, please contact Daniel Strong, Senior Recruiter at ~~~

The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physicians 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, pregnancy, sexual orientation, veteran or military status, and family medical or genetic information.

The University of Virginia offers confidential Dual Career Services to partners of incoming faculty candidates. To learn more, please visit ~~~