Job Description

Assistant Professor of UNMCCC in IM Division of Epidemiology - Biostatician

Posting Numberreq6814
Employment TypeFaculty
Faculty TypeTenure/Tenure-Track
Hiring DepartmentIM Div of Epidemiology (851H)
Academic LocationSchool of Medicine
Benefits EligibleThe University of New Mexico provides a comprehensive package of benefits including medical, dental, vision, and life insurance. In addition, UNM offers educational benefits through the tuition remission and dependent education programs. See the Benefits home page for more information.
Position Summary

The University of New Mexico NCI-Designated Comprehensive Cancer Center (UNMCCC) and the Division of Epidemiology, Biostatistics, and Preventive Medicine, Department of Internal Medicine at the UNM School of Medicine (UNM SOM) invite applications from Ph.D. Biostatisticians to join an outstanding team of faculty in biostatistics who are engaged in statistical methodology relevant to cancer and in biostatistical applications integrated with basic, translational, clinical, and population science research. We seek candidates with strong potential to contribute to clinical research and cancer clinical trials design, but also population and basic science studies, and, who will collaborate with cancer-focused physicians and scientists through the UNMCCC Biostatistical Shared Resource. Preference will be given to those interested in pursuing research in the study and application of modern clinical trials approaches, including adaptive and Bayesian methods. Additional areas of interest may be considered, including experience in cancer genomics, statistical modeling of large data sets, algorithm development, prediction modeling, survival analysis, competing risks models, Phase I and II clinical trials, and causal inference. Successful candidates will have an academic faculty appointment in the Department of Internal Medicine at UNM SOM, membership in the UNMCCC, and will join the UNMCCC Biostatistics Shared Resource, which is highly engaged in the Center’s Multidisciplinary Clinical Working Groups focused on the development and prioritization of cancer clinical trials and correlative studies and in the cancer clinical trials infrastructure and regulatory committees (Clinical Protocol & Data Management, Data Safety & Monitoring, Protocol Review and Monitoring System, and Early Phase Clinical Research). Salary will be commensurate with experience and education. Significant resources, including excellent salaries and start-up packages are available.

The University of New Mexico Comprehensive Cancer Center (UNMCCC) is the Official Cancer Center of New Mexico and the only National Cancer Institute (NCI) Designated Comprehensive Cancer Center in a 500-mile radius. The 134 oncology physicians, 122 cancer research scientists, and staff are particularly focused on discovering the causes and the cures for cancers that disproportionately affect the people of the American Southwest - primarily Hispanic, American Indian, and Non-Hispanic White - with strikingly different patterns of cancer incidence, mortality and disparity. The Center treated 12,000 unique patients in FY17, 12% of whom participated in therapeutic interventional studies and 35% of whom participated in interventional studies. The UNMCCC has outstanding research programs in Cancer Control and Cancer Health Disparities; Cancer Genetics, Epigenetics, and Genomics; Cancer Cell and Systems Biology; and Cancer Therapeutics. These programs house several national centers including: The Molecular Discovery and High Throughput Target Screening Center (nmmlsc.health.unm.edu), one of the nation’s 6 Chemical Biology Consortium Centers of Excellence in The NCI NExT Program; The New Mexico Center for the Spatiotemporal Modeling of Cell Signaling (stmc.health.unm.edu), one of 13 NIH National Centers for Systems Biology; and the UNM SOM is a NIH Clinical and Translational Sciences Center. Rich collaborations with UNMCCC partners (Sandia and Los Alamos National Laboratories; Lovelace Respiratory Research Institute) with unparalleled computing and technology infrastructure enrich our research endeavors. The UNMCCC is the center of a collaborative statewide cancer clinical trials and health delivery research network and is funded by a NCI NCORP Grant (Minority/Underserved), and is also a member of the ORIEN National Cancer Precision Medicine Network (http://oriencancer.org/). Center members have conducted more than 60 statewide community-based cancer education, prevention, screening, and behavioral intervention studies involving more than 10,000 New Mexicans. Learn more at http://cancer.unm.edu/.

Qualifications

Minimum Qualifications:

  • PhD in biostatistics/statistics or a closely related field; and
  • Must be qualified to work in the U.S., this is not a J-1 Visa opportunity.

Preferred Qualifications:

  • Expertise in modern clinical trials methodologies and applications;
  • Ability to develop collaborations with investigators from multiple disciplines in areas of oncology research emphasis;
  • High impact methodological orientation;
  • Strong potential for a funded independent research program;
  • Ability to provide leadership and direction to staff scientists in the UNMCCC Biostatistics Shared Resource.
Application InstructionsComplete applications will include a cover letter, curriculum vitae, and the names of three references with mailing address, phone numbers and email address. For all inquiries or questions, please contact: Search Chair: Shane Pankratz

vpankratz@salud.unm.edu

or 505-272-3718, or, Co-Chair: Linda Cook, PhD or 505-272-1333 , or, Search Coordinator: Amanda Leigh at

aleigh@salud.unm.edu

or 505-272-2201.
For Best ConsiderationFor best consideration, please apply by . This position will remain open until filled.

The University of New Mexico is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability, or any other protected class.

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Application Instructions

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