Assistant to Associate Professors

Job Details

Assistant to Associate Professors - Full Time

The Marlene & Stewart Greenebaum Comprehensive Cancer Center (UMGCCC) and the School of Medicine (UMSOM) are recruiting four tenure track Assistant to Associate Professors with expertise in the below disciplines. The successful candidate will be a member of the UMGCCC and will hold an appointment in an academic department in the UMSOM. Applicants must have a Ph.D. or equivalent and at least 4 years of relevant faculty-level experience. All applicants are encouraged, but preference will be given to individuals who have already been successful in obtaining significant research funding.

Qualified applicants should submit a single PDF file containing a short cover letter, a detailed curriculum vitae, contact information for three or more references, up to three reprints of representative publication(s), and a 3-to-5-page description of future research directions. Responses should reference one of the following position numbers:

Position #03-303-162: Tumor Immunology & Immunoengineering

Rigorously trained with high impact discovery in basic science including immunology and inflammation in cancer development and therapy, or in immuno-engineering. Priority will be given to funded early career tumor immunologists (MD/PhD or PhD) with focused research interests in solid tumor immunotherapy.

Position #03-334-004: Cancer Therapeutics

Focus is in identifying and studying molecular targets that inform the development of strategies and treatments to improve therapeutic outcomes in high priority cancer areas, working, participating and collaborating with researchers in CT and the other programs in UMGCCC as necessary, as well as relevant clinicians within the CT program. Participating, informing and being informed by the Translational Working Group of the cancer center will be a relevant component of helping strengthen the CT program.

Position #03-334-005: Cancer Biology

CB aims to hire a researcher with research focus in any area of cancer biology, including cancer genomics and epigenetics, informatics, tumor initiation, evolution, microenvironment, and metastasis, intrinsic and acquired treatment resistance, and target identification with the potential to develop diagnostic markers and novel therapeutics. Areas of Interest: Expertise in developing strategies to improve diagnosis, inform treatment, and evaluate treatment response.

Position #03-307-180: Population Science

The PS Program seeks to recruit a cancer epidemiologist with expertise in cancer disparities and integrative population data science. The investigator will advance causal inference and methodological rigor in observational cancer research, including approaches such as target trial emulation and methods addressing time varying exposures and confounding. Areas of interest include statistical epidemiology, cancer predisposition including obesity/alcoholism/aging structural and social determinants of cancer disparities and the integration of cohort, EHR, genomic, and neighborhood data. The successful candidate will strengthen research across the PS Program aims: cancer epidemiology and genomics, cancer prevention and early detection, and cancer outcomes.

Qualifications: Applicants must have a PhD or equivalent and at least 4 years of relevant faculty experience.

Expected Salary Range: $125,000 to $184,500. The referenced salary range reflects base pay, which is based on faculty rank and years in rank. This salary range does not include all components of faculty compensation program or pay from participation in variable compensation programs. Therefore, the actual compensation paid to the selected candidate may vary from the salary range stated herein. For more information, please contact the hiring department.

The referenced salary range represents the minimum and maximum salaries for this position and is based on the University of Maryland School of Medicine’s good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.

UMB offers a comprehensive benefits package that prioritizes wellness, work/life balance, and professional development. This position offers a retirement program that must be selected and is effective on your date of hire. Faculty receive a generous leave package that includes over 4 weeks of vacation accrued each year, paid holidays, personal leave, unlimited accrual of sick time, and comprehensive health insurance; professional learning and development programs; tuition remission for employees and their dependents at any University System of Maryland school. Note: Leave and tuition benefits are prorated for part-time employees.

UMB is an Equal Opportunity, Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law or policy. We value diversity and how it enriches our academic and scientific community and strive toward cultivating an inclusive environment that supports all employees. We are committed to building a diverse environment; women and minorities are strongly encouraged to apply.

If you need a reasonable accommodation for a disability, for any part of the recruitment process, please contact HRJobs@umaryland.edu and let us know the nature of your request and your contact information. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

Applications should submit an online application at https://umb.taleo.net/careersection/jobdetail.ftl?job=2600007D&lang=en, referencing the appropriate position number.