Open Rank Professor of Public Health Sciences - Cancer Data Scientist, Precision Health

University of Virginia

• $100K — $120K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD or terminal degree in a relevant field
  • Minimum of three years of relevant research experience
  • Demonstrated success in peer-reviewed funded research
  • Expertise in cancer epidemiology and/or data sciences
  • Familiarity with artificial intelligence and machine learning applications in research

Responsibilities

  • Envision and plan innovative research strategies for cancer prevention
  • Conduct research focused on personalized cancer risk prediction
  • Investigate individual, social, and community factors affecting cancer outcomes
  • Develop independent scientific programs within the Precision Health initiative
  • Collaborate with interdisciplinary teams within the UVA Comprehensive Cancer Center

Benefits

  • Membership in the renowned UVACC's Cancer Prevention and Population Health research program
  • Opportunity to impact cancer prevention strategies in diverse populations
  • Access to resources for next generation translational research
  • Support for independent research program development
  • Engagement with a team of exemplary researchers in the field
Full Job Description
The Department of Public Health Sciences (PHS), School of Medicine, at the University of Virginia (UVA) and UVA Comprehensive Cancer Center (UVACC) invites talented researchers to join an exemplary team of investigators to advance precision health strategies directed to cancer prevention and control and reducing cancer disparities.

Applicants are sought at the rank of Assistant, Associate or Full Professor with a terminal degree (e.g., PhD, MD, ScD) to apply for tenure-track/eligible faculty positions supported under a newly announced Precision Health initiative.

Cancer Data Scientist (Open rank). We are seeking exceptional candidates trained in cancer epidemiology and/or data sciences to envision, plan and conduct innovative research to advance the science of personalized cancer prevention and risk prediction to discover and advance optimal strategies or approaches to prevent cancer incidence and/or recurrence. The driving goals of this UVA sponsored Precision Health Initiative are to broaden our ability to effectively prevent, diagnose, and /or delay cancer processes in diverse populations. As such, we envision this scope of work to involve individual, social, clinical and community-level factors. Faculty hired under this initiative will have a primary appointment in PHS and membership in the UVACC's Cancer Prevention and Population Health research program. The successful faculty candidate will be supported to develop world-leading independent scientific programs to advance our understanding of cancer prevention and conduct next generation translational research driven by data science, artificial intelligence, machine learning, computer science, and other emerging areas in cancer research. Applicants must have evidence of peer-reviewed funded research in areas such as cancer etiology, outcomes, biomarkers, screening, early detection, or therapeutics. UVACC priority cancers include lung, breast, GI, prostate, cervical or melanoma based on disparity and population burden within our catchment area.

Qualifications

Qualified candidates must have Ph.D. or terminal degree with at least three years of experience.

Application Instructions

This position will remain open until filled. The University will perform background checks on all new hires prior to employment. A completed pre-employment health screen is required for this position prior to employment.

To Apply:

Complete an application online with the following documents:
  • CV
  • Cover Letter - please include how you learned about this position
  • Contact information for at least 3 references

Applications that do not contain all required documents will not receive full consideration.

For questions about the application process, please contact Roger Anderson

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