Research Associate in Cancer Systems Biology

The Fallahi-Sichani Laboratory at the University of Virginia in Charlottesville is seeking highly motivatedcandidates for a postdoctoral research associate position to lead a multidisciplinary cancer systems biology project in the lab.

The focus of the NIH-funded project will be to explore the interplay between genetic, epigenetic and signaling mechanisms that determine heterogeneity in responsiveness of tumor cells to targeted inhibition of oncogenic pathways. By studying these mechanisms, we hope to identify predictive markers of therapeutic response, and develop new strategies to overcome heterogeneous populations of drug-resistant tumor cells. Our studies involve techniques in molecular and cellular biology, biochemistry, pharmacology, fluorescence microscopy, single-cell analysis, genomics, epigenomics, and data-driven computational modeling. Candidates with strong background in molecular and cellular biology (or a related discipline) and interest in learning computational methods are particularly encouraged to apply. Candidates with bioengineering or systems biology background and previous wet-lab experience are also strongly encouraged to apply.

The Fallahi-Sichani labworks at the interface of bioengineering, cancer biology and quantitative pharmacology. Researchin the lab isbuilt on ourmulti-disciplinary experience in systems biology, quantitativepharmacology, and single-cell measurement and analysis, and benefits fromactive collaboration with leaders in clinical oncology, epigenetics, and proteomics research. Members of our laboratory work in a highly collaborative research environment. Our goal is to motivate and trainfellows across disciplines to address new and challenging problems in cancer biology and therapy. For more information, visit Fallahi-Sichani lab homepage at: https://www.fallahi-sichani-lab.com/

REQUIRED QUALIFICATIONS:

The completion of a Ph.D. in Molecular Biology, Biochemistry, Developmental Biology, Cancer Biology, Quantitative Pharmacology, Bioengineering (or a related discipline) is required by appointment start date.

APPLICATION PROCEDURE: Apply online at https://uva.wd1.myworkdayjobs.com/UVAJobs and attach a cover letter, curriculum vitae listing publications, one-paragraph statement of research experiences and interests, as well as contact information for three references. Applications by members of underrepresented groups are strongly encouraged.

Please note that multiple documents can be uploaded in the box .

APPLICATION DEADLINE: Review of applications will begin on October 31, 2021 and will continue until the position is filled. The University will perform background checks on all new hires prior to employment.

This is a one-year appointment; however, appointment may be renewed for an additional two, one-year increments, contingent upon available funding and satisfactory performance.

For questions about the position, please contact Mohammad Fallahi-Sichani, Assistant Professor , at fallahi@virgini a.edu.

For questions about the application process, please contact Richard Haverstrom, Faculty Search Advisor, at rkh6j@virginia.edu

For information on the benefits available to postdoctoral associates at UVA, visit postdoc.virginia.edu and hr.virginia.edu/benefits.

COVID Vaccination Requirement and Guidelines

Please visitthe UVA COVID-19 Job Requirements and Guidelines webpageprior to applying for current information regarding vaccination requirementsandguidelines for employment at UVA.

The University of Virginia, i ncluding 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.