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Drug Delivery Postdoc Jobs (NOW HIRING)

MD Anderson

Postdoc Fellow - Imaging Physics

Houston, TX

$46K - $63K/yr

... and drug delivery. The lab is in a highly collaborative research environment with access to world-class resources, expertise, and data. Current projects seeking postdoctoral fellows include: Image ...

MD Anderson

Postdoc Fellow - Imaging Physics

Houston, TX · On-site

$46K - $63K/yr

... and drug delivery. The lab is in a highly collaborative research environment with access to world-class resources, expertise, and data. Current projects seeking postdoctoral fellows include: Image ...

MD Anderson

Postdoc Fellow - Imaging Physics

Houston, TX

$46K - $63K/yr

... and drug delivery. The lab is in a highly collaborative research environment with access to world-class resources, expertise, and data. Current projects seeking postdoctoral fellows include: Image ...

Tribonet

Post Doc

Worcester, MA · On-site

$48K - $66K/yr

... industry professionals Postdoctoral Fellow Position Available -- RNA Therapeutics for ... We combine principles of RNA biology, biomedical engineering, drug delivery, and skin biology to ...

Tribonet

$36K - $49K/yr

... industry professionals Postdoctoral Fellow Position Available -- RNA Therapeutics for ... We combine principles of RNA biology, biomedical engineering, drug delivery, and skin biology to ...

NorthEastern

Postdoctoral Research Associate

Boston, MA · On-site

$60K - $85K/yr

Professor Tang is hiring a Postdoctoral Research Associate to work in her laboratory. The selected ... Application relevant materials will be examined such as drug delivery. Publications in multiple ...

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Drug Delivery Postdoc information

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How much do drug delivery postdoc jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for drug delivery postdoc in the United States is $18.10, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $19.47 per hour, depending on experience, location, and employer.

What is a drug delivery postdoc?

A Drug Delivery Postdoc is a postdoctoral researcher who specializes in developing and studying methods for delivering therapeutic drugs to specific sites in the body. Their work often involves designing novel drug carriers, such as nanoparticles or liposomes, to improve the efficacy and safety of medications. They typically work in academic, pharmaceutical, or biotech research settings, conducting experiments, analyzing data, and publishing findings. This role requires advanced knowledge in pharmaceutics, chemistry, biomedical engineering, or related fields.

What skills and qualifications are needed to thrive as a drug delivery postdoc?

To thrive as a Drug Delivery Postdoc, you need a PhD in pharmaceutical sciences, biomedical engineering, or a related field, with expertise in drug formulation, pharmacokinetics, and nanotechnology. Familiarity with laboratory techniques such as HPLC, mass spectrometry, cell culture, and data analysis software is typically required. Strong problem-solving, critical thinking, and collaboration skills set top candidates apart in interdisciplinary research environments. These competencies are vital for advancing innovative drug delivery systems and achieving impactful scientific results.

What opportunities for interdisciplinary collaboration can a drug delivery postdoc expect during their appointment?

As a Drug Delivery Postdoc, you can expect to work closely with professionals from a variety of backgrounds, including chemists, biomedical engineers, pharmacologists, and clinicians. These collaborations often involve joint research projects, sharing expertise in material science, pharmacokinetics, and in vivo testing, and contributing to the design and evaluation of novel drug delivery systems. Such interdisciplinary teamwork not only enriches your research experience but also expands your professional network and skill set, which can be valuable for future academic or industry positions.

What are popular job titles related to Drug Delivery Postdoc jobs?

For Drug Delivery Postdoc jobs, the most frequently searched job titles are:

Infographic showing various Drug Delivery Postdoc job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 69% Full Time, 26% Part Time, and 4% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $37,647 per year, or $18.1 per hour.

Postdoc Fellow - Imaging Physics

Houston, TX

MD Anderson
Health Care and Social Assistance • 10K+ employees
Learn more about MD Andersonexternal

$46K - $63K/yr

Full-time

Re-posted 21 days ago

MD Anderson Cancer Center rating

8.5

Company rating: 8.5 out of 10

Based on 172 frontline employees who took The Breakroom Quiz

Job description

A postdoctoral fellowship position is available in the Department of Imaging Physics in the laboratory of Chengyue Wu, PhD. Dr. Chengyue Wu's research interests focus on computational precision oncology, especially integrating computational/mathematical approaches with emerging biomedical imaging techniques to improve the diagnosis, prognosis, and treatment of human cancers. Dr. Wu has extensive experience on developing and validating image processing methods and image-guided models for investigating tumor growth and treatment response, tumor-associated vasculature and microenvironment, and drug delivery. The lab is in a highly collaborative research environment with access to world-class resources, expertise, and data. Current projects seeking postdoctoral fellows include:
Image-guided computational modeling ("digital twins") to predict and optimize cancer (especially breast cancer) treatment response on a patient-specific basis.
Development of deep learning models, longitudinal image analysis, and multi-modality data integration to improve breast cancer early detection.
LEARNING OBJECTIVES
This postdoctoral fellow will engage in highly productive interdisciplinary research projects in image-guided precision oncology and personalized cancer healthcare. The fellow will expand their knowledge and skills in quantitative imaging, image analysis, artificial intelligence (AI)/deep learning technologies, mathematical biomechanical modeling, inverse problems, and uncertainty quantification. The fellow will have opportunities to contribute to ongoing research projects and will be encouraged to explore and develop new areas of research interest with guidance from the mentor. The fellow will be expected to work closely with research/clinical collaborators, communicate findings via reports, abstracts, presentations, and publications, and actively participate in seminars, conferences, and related academic endeavors.
ELIGIBILITY REQUIREMENTS
Applicants should have earned a Ph.D. in one of the natural sciences, computer sciences, applied mathematics, engineering, or related fields or a medical degree. Experience with machine learning and deep learning techniques, mathematical modeling, or medical image analysis is preferred. Applicants do not need to be US citizens or permanent residents. This appointment is not part of a clinical training program; individuals holding an M.D. degree or equivalent are not permitted to engage in patient care activity.
ADDITIONAL APPLICATION INFORMATION
The trainee will be appointed for one year from the date of hire with an option to be renewed for up to three years.
POSITION INFORMATION
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html


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Dr. Chengyue Wu

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