Lab Specialist in Biochemistry & Molecular Genetics

The Bielinsky laboratory in the Department of Biochemistry & Molecular Genetics at the University of Virginia ( www.virginia.edu/bmg ) seeks to hire a laboratory specialist to participate in multiple NIH-funded projects that focus on the study of molecular pathways that defy replication stress relevant to cancer and rare genetic diseases.

What you will do:

• Specialize in lab and/or other research methods and equipment functions specific to Principal Investigators and/or labs.
  
• Demonstrate expertise in troubleshooting problems and recommending solutions.
  
• Perform a variety of tests requiring high degree of proficiency.
  
• Assist in evaluation of research methods, procedures, and techniques based on established objectives.
  
• Provide assistance to researchers in computing and analyzing data using specialized statistical computer software.
  
• Evaluate experiment results using statistical and multivariate analyses.
  
• Research, compile, and maintain complex statistical, numerical, and computerized reports.
  
• Perform library and literature research.
  
• Assist in instructing lab academic sections in lab methods, procedures, and safety.
  
• Explain work instructions and adapt general methods and procedures in order to meet the needs of the research.
  
• Assist in training other lab personnel.
  

Minimum Requirements:

Education: Bachelor's degree.

Experience: 3 years of experience. 6 years of lab-related experience accepted in lieu of degree.

Licensure: None.

Preferred Qualifications:

• Bachelor's degree in the Life Sciences and at least 3 years of laboratory experience. 6 years of lab experience may be considered in lieu of a degree
  
• Interest in cell cycle regulation, DNA replication and DNA repair.
  
• Experience in genome editing, using clustered regularly interspaced short palindromic repeats (CRISPR) tools, and basic molecular biology methods
  
• Some experience in genomics and proteomics
  
• Some demonstrated capacity for data management and analysis as indicated by co-authorship on research papers
  
• Advanced degree in the Life Sciences
  

The selected applicant will be required to complete a background check and health assessment per University policy.

This is a restricted position and continuation is dependent on funding and satisfactory performance.

We offer an exceptionally interactive and inclusive research environment with mentoring and career planning, and a competitive salary.

To Apply:

Apply Here , and search for R0063231.

Internal applicants must apply through their UVA Workday profile by searching 'Find Jobs' and search for R0063231.

Complete an application online with the following documents:

• CV
  
• Cover letter
  

Upload all materials into the resume submission field, multiple documents can be submitted into this one field. Alternatively, merge all documents into one PDF for submission. Applications that do not contain all required documents will not receive full consideration.

References will be completed via UVA's standardized process Skill Survey. A total of five references will be requested via Skill Survey during the final phase of the interview process.

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, 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, pregnancy, sexual orientation, veteran or military status, and family medical or genetic information.