Publisher
source

The University of Texas Rio Grande Valley

Just Landed

Postdoctoral Fellow in Cancer Biology and Molecular Biomedical Research University of Texas Rio Grande Valley in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Grant-funded postdoctoral trainee position; full-time, commensurate salary/experience. The posting states the position is grant funded and gives a grant expiration date of 2029-03-31.

Country flag

Country

United States

University

The University of Texas Rio Grande Valley

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Keywords

Computer Science
Molecular Biology
Chemistry
Biomedical Engineering
Cancer Biology
Pathology
Biostatistics
Drug Delivery
Biology
Computational Biology
Medical Science
Salud Pública
Nanomedicine
Bioinformatic
Chronic Illnes

Suggested positions

About this position

Postdoctoral Fellow at the University of Texas Rio Grande Valley in the School of Medicine / MDOISU Cancer Research.

This full-time postdoctoral trainee position focuses on cancer biology, molecular biology, drug delivery, nanomedicine, and related biomedical research. The role involves developing, testing, recording, and analyzing research projects; exploring molecular mechanisms linking cancer, obesity, liver disease, and women’s diseases; and working with cultured cells, xenografts, and engineered mouse models.

Research activities include conventional laboratory methods and advanced instrumentation such as flow cytometry, confocal imaging, live animal IVIS and CT-PET, X-ray radiation, XCELLigence, Seahorse, ultracentrifuge, proteomics/mass spectrometry, and HPLC. The post also includes independent experimental design, data analysis, training activities, progress reporting, manuscript preparation, and support for grant/proposal submissions.

Eligibility: Applicants must hold a PhD in Cancer or Molecular Biology, Genetics, Drug Delivery, Bioinformatics, Biostatistics, Computational Biology, or a closely related biomedical field from an accredited university. Preferred experience includes cancer or related disease research, mentoring students, and hands-on use of advanced biomedical techniques and statistical software.

Funding: This is a grant-funded position with salary commensurate with experience. The grant expiration date listed is 2029-03-31.

Location: McAllen, Texas / Rio Grande City, Texas, with work across multiple UTRGV locations in the Rio Grande Valley.

How to apply: Submit your application through the UTRGV careers portal. Make sure your documents are complete and do not include confidential information such as date of birth, gender, or ethnicity/race. Incomplete applications will not be considered.

Funding details

Grant-funded postdoctoral trainee position; full-time, commensurate salary/experience. The posting states the position is grant funded and gives a grant expiration date of 2029-03-31.

What's required

Applicants must hold a PhD in Cancer or Molecular Biology, Genetics, Drug Delivery, Bioinformatics, Biostatistics, Computational Biology, or another closely related biomedical field from an accredited university; the degree may need to have been conferred within a specified period due to funding restrictions. Preferred experience includes research in cancer, obesity, HIV, neurodegenerative diseases, geomorphology, or related fields; mentoring undergraduate and graduate students; and using advanced research techniques and instrumentation. Strong experience in biomedical and cancer research, in vitro and in vivo work, molecular biology laboratory methods, flow cytometry, confocal imaging, live animal IVIS and CT-PET, X-ray radiation, XCELLigence, Seahorse, ultracentrifuge, proteomics, HPLC, mass spectrometry, thermal analysis, FTIR, SEM, DSC/TGA, and statistical software is preferred.

How to apply

Apply through the university careers portal using the provided posting link. Submit a complete application and omit confidential information such as date of birth, gender, and ethnicity/race from uploaded documents. Incomplete applications will not be considered.

More information can be found here

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?