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Postdoctoral Position Computational Biophysics Jobs in Utah

Post Doc Res Assoc

Salt Lake City, UT · On-site

$15 - $18.75/hr

A postdoctoral position is available in the Chaudhuri lab within the Nora Eccles Harrison ... Computational approaches for high-throughput sequencing, high-content imaging, protein design, etc.

Post Doc Res Assoc

Salt Lake City, UT · On-site

$63K - $71K/yr

A postdoctoral position is available in the Chaudhuri lab within the Nora Eccles Harrison ... Computational approaches for high-throughput sequencing, high-content imaging, protein design, etc.

Post Doc Res Assoc

Salt Lake City, UT · On-site

$70K - $82K/yr

... Postdoctoral Research Associate will conduct applied and fundamental research in energy systems ... The position will involve developing computational models and simulation tools, analyzing ...

Postdoctoral Fellow I

Logan, UT

$42K - $57K/yr

... position is for 2 years but may be longer contingent upon funding and performance. * Develop ... Structure-based computational screening using molecular docking, highthroughput virtual screening ...

Postdoctoral Fellow I

Logan, UT · On-site

$42K - $57K/yr

... This position is for 2 years but may be longer contingent upon funding and performance ... Structure-based computational screening using molecular docking, highthroughput virtual screening ...

Postdoctoral Fellow II

Logan, UT · On-site

$42K - $57K/yr

The position is fully funded and includes a competitive salary, benefits, and opportunities for ... Biophysics, Bioengineering, Neuroscience, or a closely related field * Strong record of peer ...

Postdoctoral Fellow II

Logan, UT

$42K - $57K/yr

The position is fully funded and includes a competitive salary, benefits, and opportunities for ... Biophysics, Bioengineering, Neuroscience, or a closely related field * Strong record of peer ...

Post Doc Res Assoc

Salt Lake City, UT · On-site

$70K - $82K/yr

... Postdoctoral Research Associate will conduct applied and fundamental research in energy systems ... The position will involve developing computational models and simulation tools, analyzing ...

... a Postdoctoral Research Fellow position in the Brain Network Lab. The successful candidate will ... computational infrastructure. Training will emphasize the development of independent research ...

... a Postdoctoral Research Fellow position in the Brain Network Lab. The successful candidate will ... computational infrastructure. Training will emphasize the development of independent research ...

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Postdoctoral Position Computational Biophysics information

What is a postdoctoral position in computational biophysics?

A Postdoctoral Position in Computational Biophysics is a temporary research role for individuals who have recently obtained a PhD in a related field. In this position, researchers use computational tools and theoretical models to study biological systems at the molecular or cellular level. The work often involves simulating biomolecules, analyzing large datasets, and developing new computational methods to understand biological processes. These positions are typically held at universities or research institutes and are designed to provide further training and experience before pursuing a permanent academic or industry role.

What are the key skills and qualifications needed to thrive as a postdoctoral researcher in computational biophysics?

To thrive as a Postdoctoral Researcher in Computational Biophysics, a strong background in physics, chemistry, or biology along with a PhD and advanced computational modeling skills is essential. Expertise in programming languages (such as Python, C++, or MATLAB), molecular dynamics software (like GROMACS or AMBER), and high-performance computing platforms is typically required. Excellent problem-solving abilities, collaboration, and effective scientific communication are standout soft skills in this field. These skills enable researchers to design, execute, and communicate complex simulations that advance understanding of biological systems and drive scientific discovery.

What are some typical challenges faced by postdoctoral researchers in computational biophysics, and how can they be addressed?

Postdoctoral researchers in computational biophysics often encounter challenges such as integrating complex biological data with advanced computational models, staying current with rapidly evolving software tools, and balancing independent research with collaborative projects. These challenges can be addressed by proactively seeking interdisciplinary collaborations, attending workshops to enhance technical skills, and regularly consulting with mentors and peers. Establishing efficient workflows and participating in lab meetings also helps in managing time and staying aligned with research goals.

What are popular job titles related to Postdoctoral Position Computational Biophysics jobs in Utah?

For Postdoctoral Position Computational Biophysics jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Postdoctoral Position Computational Biophysics jobs in Utah look for?

The top searched job categories for Postdoctoral Position Computational Biophysics jobs in Utah are:

What cities in Utah are hiring for Postdoctoral Position Computational Biophysics jobs?

Cities in Utah with the most Postdoctoral Position Computational Biophysics job openings:

Postdoctoral Research Associate

Kessler Foundation

Salt Lake City, UT • On-site

$60 - $75/hr

Other

Posted 4 days ago


Job description

The Department of Radiology and Imaging Sciences at the University of Utah invites applications for a Postdoctoral Research Fellow position in the Brain Network Lab. The successful candidate will join a multidisciplinary research team that includes faculty from radiology, psychology, biomedical engineering, and related disciplines. The Brain Network Lab is dedicated to understanding structural and functional brain changes across the lifespan. This position will contribute to the Department of Radiology and Imaging Sciences’ growing research initiative focused on identifying the etiology and biomarkers of neurodegenerative disorders. Research projects will leverage unique longitudinal neuroimaging datasets available through the University of Utah and its collaborative research programs.

Responibilities

Current projects focus on healthy aging, neurodegenerative diseases, and neurodevelopmental conditions, including developmental disabilities. The postdoctoral fellow will lead and contribute to the development and application of advanced neuroimaging analysis pipelines, including:

  • Longitudinal structural MRI analysis
  • Resting-state functional MRI connectivity and network analysis
  • Individualized brain parcellation and precision neuroimaging approaches
  • Multimodal image processing, registration, and quantitative analysis
  • Biomarker discovery using large-scale longitudinal datasets
  • Training and Career Development

This position offers outstanding opportunities for multidisciplinary mentorship, scientific collaboration, and professional development. The fellow will work closely with investigators across multiple departments and will have access to extensive longitudinal imaging resources and computational infrastructure. Training will emphasize the development of independent research skills, grant writing, manuscript preparation, and career advancement toward academic, industry, or clinical research careers. Salary will be commensurate with experience and qualifications and consistent with current NIH postdoctoral stipend guidelines.

Minimum Qualifications Required
  • PhD (completed or anticipated before the start date) in Neuroscience, Biomedical Engineering, Psychology, Computer Science, Medical Physics, or a related field
  • Evidence of research productivity, including peer-reviewed publications
  • Strong quantitative and analytical skills
Preferred
  • Experience with neuroimaging analysis methods and software (e.g., FreeSurfer, FSL , AFNI , ANTs, Connectome Workbench)
  • Programming experience in Python, MATLAB , R, or related languages
  • Experience with image processing, registration, machine learning, or computational neuroscience methods
  • Interest in aging, neurodegenerative disease, developmental disabilities, or lifespan neuroscience
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