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Postdoctoral Position Computational Biophysics Jobs in Texas

MD Anderson

Postdoctoral Fellow - Biostatistics

Houston, TX · On-site +1

$64K - $76K/yr

... computational skills; gain interest in statistical methodology research; and acquire extensive ... POSITION INFORMATION MD Anderson offers full-time postdoc positions with a salary ranging from $64 ...

MD Anderson

Postdoctoral Fellow - Biostatistics

Houston, TX · On-site +1

$64K - $76K/yr

... computational skills; gain interest in statistical methodology research; and acquire extensive ... POSITION INFORMATION MD Anderson offers full-time postdoc positions with a salary ranging from $64 ...

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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.

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Postdoctoral Position Computational Biophysics jobs near you

POSTDOCTORAL RESEARCHER - O'Donnell Brain Institute - Cone Lab [Req#: 961927, Position#: 132376]

UT Southwestern Medical Center

Dallas, TX • On-site

Full-time

Posted 25 days ago

UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

107th of 891 rated healthcare providers

Job description

Description
The Cone Lab in the O'Donnell Brain Institute at UT Southwestern Medical Center is seeking a postdoctoral research scientist to help develop biophysically grounded models of synaptic plasticity and circuit function in the hippocampus. The position is in the Program in Memory and Longevity, under the direction of Dr. Ian Cone.
The postdoc will investigate the mechanisms and computational consequences of behavioral timescale synaptic plasticity (BTSP) in hippocampal circuits. This includes building models of plasticity at the single-neuron level and studying how BTSP shapes learning and representation in hippocampal networks, in close collaboration with experimental partners. The postdoc will also contribute to the lab's broader program on synaptic plasticity and hippocampal computation.
Responsibilities:
  • Develop biophysically grounded models of synaptic plasticity, with a focus on BTSP and dendritic mechanisms
  • Connect cellular-level models to network-scale computation and dynamics
  • Collaborate with experimental partners to constrain and test models against imaging and electrophysiology data
  • Contribute to the lab's broader research program spanning synaptic plasticity, credit assignment, and hippocampal computation
  • Publish research in relevant journals
  • Present research at relevant conferences and seminars
  • Mentor and support junior scientists in the lab

Qualifications
  • Ph.D. in computational neuroscience, biophysics, physics, applied mathematics, biomedical engineering, or a related quantitative field.
  • Strong background in computational modeling of biologically plausible neural networks and synaptic plasticity
  • Experience with simulation platforms such as NEURON, Jaxley, Brian2, or equivalent.
  • Proficiency in Python and/or MATLAB
  • Desire to work at the interface of theory and experiment.
  • Record of peer-reviewed publications.

Application Instructions
Please submit CV and a brief summary of research accomplishments and research goals.

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