Post-Doctoral Associate: GI Division, Liang Lab

University of Minnesota; Minneapolis (MN); On-site; USD 63,480 - 77,076; Full time

Benefits offered by this job

Competitive wages

Paid holidays

Generous time off

Medical and dental plans

Disability and life insurance

Employee Assistance Program

Job summary

The University of Minnesota in Minneapolis is seeking a postdoctoral researcher to join Dr. Shunqing Liang's laboratory in the Department of Medicine. The position focuses on using CRISPR-mediated gene editing for cancer research, specifically targeting lung and liver diseases.

Applicants should hold a recent Ph.D. or M.D./Ph.D. with expertise in cancer biology and in-vivo gene editing. The position offers competitive wages and comprehensive benefits.

Qualifications

• Strong background in cancer biology, molecular biology, or related fields.
• Experience with next-generation gene-editing technologies.
• Technical skills for mouse in-vivo work, including IV injections and necropsy.
• Advanced knowledge in in-vivo techniques, such as liver perfusion.
• Publication record in relevant peer-reviewed journals.
• Highly motivated candidates encouraged to apply.
• Fluency in one programming language is a plus.

Responsibilities

• Characterize cancer-associated mutations using CRISPR techniques.
• Investigate the pathogenic impact of mutations on tumorigenesis.
• Participate in collaborative projects and present at conferences.

Skills

In-vivo gene editing

Molecular biology

Cancer biology

Technical skills for mouse work

Programming (Python, R/Matlab)

Education

Recent Ph.D. or M.D./Ph.D.

Tools

Next-generation gene-editing technologies

CRISPR techniques

Job description

About the Job

A postdoctoral position is available in Dr. Shunqing Liang's laboratory at the University of Minnesota Twin Cities, Department of Medicine in the Division of Gastroenterology, Hepatology, & Nutrition. Our laboratory is dedicated to applying the CRISPR-mediated genome-editing techniques for Gene Therapy and Cancer Research. Our long‑term goal is to harness the capabilities of CRISPR to develop precise and targeted genome-editing strategies tailored to the challenges of lung and liver disease. This innovative approach holds promise for unlocking new avenues in gene therapy, cancer research, and immunotherapy.

The individuals will use CRISPR techniques to characterize cancer‑associated mutations and identify neoantigens related to lung cancer and liver cancer. They will also learn experimental approaches and methods to investigate the pathogenic impact of aberrant mutations on tumorigenesis and biology. They will participate in collaborative projects and present their work at national and international conferences.

We employ multidisciplinary approaches, including genetically engineered mouse models, CRISPR screens, Prime editors, Protein engineering, AAVs, LNP, single‑cell RNA sequencing, FACS, Immunohistochemistry, and next‑generation sequencing. Additional information on our research projects can be found in our recent publications, including Nature Methods, Nature Biotechnology, Nature Communications, Cancer Research, EMBO Molecular Medicine, and Oncogene.

Qualifications

• Recent Ph.D. or M.D./Ph.D. with a strong background in cancer biology, molecular biology, or related fields.
• Excellent in in‑vivo gene editing, including applying and developing next‑generation gene‑editing technologies, such as prime editing, base editing, and recombinases.
• Excellent technical skills for mouse in‑vivo work comprising but not limited to IV injections, retro‑orbital bleeding, necropsy.
• Knowledge and experience in advanced in‑vivo techniques such as liver perfusion and hepatocyte isolation, intratracheal injection, lung function assays.
• Evidence of a publication record in relevant peer‑reviewed journals.
• Highly motivated candidates are encouraged to apply.
• Fluency in one programming language is a plus but not required (Python, R/Matlab).

Pay and Benefits

Pay Range: Pay is based on NIH Stipends & years of experience, ranging from $63,480–$77,076; dependent on education/qualifications/experience.

Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility.

• Competitive wages, paid holidays, and generous time off
• Continuous learning opportunities through professional training
• Medical, dental, and pharmacy plans
• Health care and dependent care flexible spending accounts
• University HSA contributions
• Disability and life insurance
• Employee wellbeing program
• Financial counseling services
• Employee Assistance Program with eight sessions of counseling at no cost

How To Apply

Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

To request an accommodation during the application process, please e-mail [e-mail] or call (612) 624‑8647.

Diversity

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu

Employment Requirements

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.