Research Scientist in Biochemistry & Molecular Genetics

The Yang lab is seeking a highly motivated Research Scientist to join their lab. We are located within the Biochemistry and Molecular Genetics Department at the University of Virginia. The candidate will investigate the molecular mechanisms of cellular stress response signaling using a combination of structural, biochemical and cell biology approaches. The candidate will be matched with close mentorship but is expected to be academically independent.

About the Yang Lab: The Yang Lab is dedicated to dissecting the molecular mechanisms of cellular stress response, specifically focusing on mitochondrial stress, endoplasmic reticulum (ER) stress, unfolded protein response (UPR), and integrated stress response (ISR). We employ an interdisciplinary approach, integrating structural biology (Cryo-EM), biochemistry (protein reconstitution), and cell biology (fluorescent imaging). Our goal is to modulate those stress response pathways in physiological and pathological conditions based on our mechanistic insights, potentially leading to the development of novel therapeutics for related human diseases, including neurodegeneration, metabolic disorders, and cancer.

More information about the Yang Lab can be found through https://jieyang-lab.com .

The successful candidate will:

Research - The research component of a Research Scientist position normally includes scholarly publication, attending academic conferences and obtaining grants. More senior scholars often take leadership roles in scholarly associations and act as editors, board members and referees for grant-giving organizations, academic presses and scholarly journals.

Service- - University service involves membership in departmental, college-level and university committees, attending departmental meetings, student recruitment and processing routine paperwork such as filling out reports, answering email, participating in surveys and voting in university elections.

In addition to the above job responsibilities, other duties may be assigned.

MINIMUM REQUIREMENTS:

Education: Requires a doctoral degree or master's degree with significant experience.

Experience: None

Licensure: None

PHYSICAL DEMANDS

This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.

To Apply:

Apply Here, and search for R0067216.

Internal applicants must apply through their UVA Workday profile by searching 'Find Jobs' and search for R0067216.

Complete an application online with the following documents:

• Cover letter summarizing your pass experience, research interests, and career goals.

• CV/Resume.

• At least 3 letters of recommendation.

Attach these documents all into the resume submission field, multiple documents can be submitted into this one field. Alternatively, merge all documents into one PDF for submission. Internal applicants must apply through their UVA Workday profile by searching 'Find Jobs'. The successful candidate will pass a criminal background check and an Education Verification. (FSAKA).

For questions regarding this position, please contact Dr. Jie Yang, Assistant Professor.

For questions about the application process, please contact Michelle Johnson, Recruiter.

For more information about UVA and the Charlottesville community please see http://www.virginia.edu/life/charlottesville and https://embarkcva.com/.

The University of Virginia, including 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, pregnancy, sexual orientation, veteran or military status, and family medical or genetic information.