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How much do molecular simulation jobs pay per year?

As of Aug 28, 2026, the average yearly pay for molecular simulation in Texas is $75,172.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,300.00 and $91,800.00 per year, depending on experience, location, and employer.

What is a molecular simulation?

A Molecular Simulation job involves using computational techniques to model and analyze molecular systems at the atomic level. Professionals in this field apply physics-based algorithms and software to study material properties, chemical reactions, and biological processes. They work in industries such as pharmaceuticals, materials science, and energy to optimize product development and research. Strong skills in computational chemistry, physics, and programming are essential for this role.

What are the key skills and qualifications needed to thrive in molecular simulation?

To thrive in Molecular Simulation, you need a solid background in chemistry, physics, or computational science, often at the graduate level, with expertise in molecular modeling and statistical mechanics. Familiarity with industry-standard simulation software (such as GROMACS, AMBER, or CHARMM), programming languages (like Python or C++), and high-performance computing platforms is essential. Strong analytical thinking, attention to detail, and effective communication are valuable soft skills in this role. These competencies are crucial for accurately modeling molecular systems, interpreting results, and collaborating with multidisciplinary teams in research or industry settings.

What are some common challenges faced by professionals in molecular simulation?

Professionals in molecular simulation often encounter challenges such as optimizing computational workloads, troubleshooting simulation errors, and interpreting complex data outputs. Balancing the accuracy of simulations with computational efficiency can also be demanding, especially when working with large biomolecular systems or advanced algorithms. Additionally, staying abreast of rapidly evolving software tools and scientific methodologies requires ongoing learning and adaptation. Being able to collaborate with experimental scientists and clearly communicate results is important for integrating simulation findings into broader research projects.

What are popular job titles related to Molecular Simulation jobs in Texas?

For Molecular Simulation jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Molecular Simulation jobs in Texas look for?

The top searched job categories for Molecular Simulation jobs in Texas are:

What cities in Texas are hiring for Molecular Simulation jobs?

Cities in Texas with the most Molecular Simulation job openings:

Molecular Simulation jobs near you
Infographic showing various Molecular Simulation job openings in Texas as of August 2026, with employment types broken down into 82% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $75,172 per year, or $36.1 per hour.

Postdoctoral Fellow, Biochemistry & Molecular Bio

Galveston, TX • On-site

UTMB Health

7.2

Company rating: 7.2 out of 10

Based on 169 frontline employees who took The Breakroom Quiz

345th of 895 rated healthcare providers

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Good employer

Recommended by students

Learn more about UTMB Healthexternal

$46K - $62K/yr

Full-time

Re-posted 8 days ago

Job description

Job Summary:
The postdoctoral fellow will conduct, report and present research in his/her field of study under the supervision of a faculty mentor. This is a training position, and is not expected to be a permanent position.
About the lab:
The Brahmachari Lab, in the Department of Biochemistry and Molecular Biology at the University of Texas Medical Branch (UTMB), and affiliated with the Sealy Institute of Drug Discovery, combines statistical physics, molecular simulations, and physics-informed AI modeling to understand how genomes are organized, regulated, and dynamically remodeled. Current projects span energy-landscape modeling of chromosome folding, non-equilibrium/active mechanisms in chromatin dynamics, and development of physics-grounded AI models for genomic data.
Essential Job Functions:
  • Design, implement, and conduct advanced theoretical and computational research studies, using established methods and, in many cases, developing new approaches.
  • Build and apply quantitative models to analyze complex phenomena relating genome structure to function, integrating simulation, statistical analysis, and machine learning techniques as appropriate.
  • Analyze, interpret, and validate research data against experimental observations; maintain organized records of methods, code, and results.
  • Prepare data, figures, and findings for presentation at scientific conferences and for manuscript preparation; publish results in peer-reviewed research journals.
  • Provide guidance and mentorship to graduate students, junior researchers, and trainees in the lab as needed.
  • Stay current with relevant scientific literature and emerging methods in the field.

Minimum Qualifications:
  • Ph.D., M.D. or Doctoral equivalent in any field. Scientific research experience.

Preferred Qualifications:
  • Strong foundation in mathematical sciences, with comfort working across statistical mechanics, statistics, dynamics, and coarse-grained modeling.
  • Demonstrated coding proficiency (e.g., Python, C/C++, or similar), ideally reflected in a GitHub portfolio or other accessible record of software work.
  • A track record of scholarly activity, such as peer-reviewed publications, in biophysics or a closely related field.
  • Familiarity with molecular simulation methods (e.g., molecular dynamics, coarse-grained modeling) and/or machine learning approaches, with interest in applying them to biological questions.
  • Experience with large datasets (e.g., genomic data) and high-performance computing environments.
  • Strong written and verbal communication skills, with the ability to present research clearly to varied audiences.
  • Ability to work both independently and collaboratively in an interdisciplinary research environment.

Salary:
Commensurate with experience using the NIH standard
EQUAL EMPLOYMENT OPPORTUNITY:
UTMB Health strives to provide equal opportunity employment without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, genetic information, disability, veteran status, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. As a Federal Contractor, UTMB Health takes affirmative action to hire and advance protected veterans and individuals with disabilities.

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