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Temporary Molecular Dynamics Simulation Jobs (NOW HIRING)

UAB NOVA RENT

SCIENTIST III

Birmingham, AL · On-site

The role requires deep technical expertise across AI for science protein and antibody design, AI-driven molecular dynamics, agentic AI and autonomous research systems, clinical trial simulations ...

1910

Computational Theoretical Chemist I

Boston, MA

Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulations are changing the way we develop new drugs. At 1910 , we put computation at the ...

1910

Computational Theoretical Chemist I

Boston, MA · On-site

Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulations are changing the way we develop new drugs. At 1910 , we put computation at the ...

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Temporary Molecular Dynamics Simulation information

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$11K

$80.7K

$103.5K

How much do temporary molecular dynamics simulation jobs pay per year?

As of Jul 5, 2026, the average yearly pay for temporary molecular dynamics simulation in the United States is $80,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What is a Temporary Molecular Dynamics Simulation job?

A Temporary Molecular Dynamics Simulation job typically involves using computational techniques to model and study the behavior of molecules over time, often for research or industrial projects. These roles are usually short-term positions, such as internships or project-based contracts, where individuals work with specialized software to run simulations, analyze data, and interpret the results to understand molecular interactions. Candidates usually have a background in chemistry, physics, or related fields and are familiar with simulation tools like GROMACS or AMBER. The work may support academic research, pharmaceutical development, or materials science initiatives.

Is computational chemistry in demand?

Computational chemistry, including roles like molecular dynamics simulation, is in growing demand across pharmaceuticals, materials science, and chemical industries due to advances in high-performance computing and modeling software. Professionals with skills in simulation tools, programming, and data analysis are increasingly sought after for research and development projects.

What jobs can you get with a molecular engineering degree?

A molecular engineering degree can lead to roles such as research scientist, materials engineer, or process engineer, often involving laboratory work, simulation, and data analysis. These jobs typically require knowledge of chemistry, physics, and computational tools like molecular dynamics simulations, and may require advanced degrees or certifications depending on the position.

What are some typical challenges faced when working on temporary molecular dynamics simulation projects?

Temporary roles in molecular dynamics simulation often present challenges such as quickly adapting to existing codebases, understanding project-specific protocols, and meeting tight deadlines. You may be required to collaborate with interdisciplinary teams, including computational chemists, physicists, and software engineers, which demands strong communication skills. Additionally, troubleshooting simulation errors and ensuring reproducibility of results are common hurdles. However, these experiences provide valuable opportunities to expand your technical skills and network within the field.

What are the applications of molecular dynamics simulation?

Molecular dynamics simulation is used by professionals in fields like chemistry, biophysics, and materials science to study the behavior of molecules and materials at an atomic level. It helps in understanding protein folding, drug interactions, material properties, and chemical reactions, often utilizing specialized software and high-performance computing resources.

What careers use simulation?

Careers that use simulation include roles in engineering, aerospace, healthcare, and computer science, where professionals develop and analyze models to predict system behavior. These jobs often require skills in programming, data analysis, and specialized simulation software such as MATLAB or ANSYS. Simulation is essential for testing designs, training, and research across various industries.

What are the key skills and qualifications needed to thrive as a Molecular Dynamics Simulation Specialist, and why are they important?

To thrive as a Molecular Dynamics Simulation Specialist, you need a strong background in physics, chemistry, or related fields, along with experience in computational modeling and simulation techniques. Familiarity with software like GROMACS, AMBER, or LAMMPS, as well as programming skills in Python or C++, are typically required. Analytical thinking, attention to detail, and effective communication are vital soft skills for interpreting results and collaborating with multidisciplinary teams. These skills ensure accurate simulations, meaningful data analysis, and successful project outcomes in both research and industry settings.

What is the difference between Temporary Molecular Dynamics Simulation vs Computational Chemist?

AspectTemporary Molecular Dynamics SimulationComputational Chemist
Required CredentialsBachelor's or Master's in Chemistry, Physics, or related field; experience with simulation softwareDegree in Chemistry, Chemical Engineering, or related; proficiency in computational tools
Work EnvironmentResearch labs, academic institutions, industry R&DResearch labs, pharmaceutical companies, academia
Industry UsageUsed for modeling molecular behavior over short periodsBroader role including modeling, data analysis, and interpretation
Common Search/ComparisonOften compared for job scope and skills requiredRelated but broader in scope

Temporary Molecular Dynamics Simulation focuses on short-term modeling of molecular systems, often using specialized software. Computational Chemist has a broader role involving various computational techniques to analyze chemical systems. Both roles require similar educational backgrounds and work environments, but their scope and application differ.

More about Temporary Molecular Dynamics Simulation jobs
What cities are hiring for Temporary Molecular Dynamics Simulation jobs? Cities with the most Temporary Molecular Dynamics Simulation job openings:
What are the most commonly searched types of Molecular Dynamics Simulation jobs? The most popular types of Molecular Dynamics Simulation jobs are:
What states have the most Temporary Molecular Dynamics Simulation jobs? States with the most job openings for Temporary Molecular Dynamics Simulation jobs include:
What job categories do people searching Temporary Molecular Dynamics Simulation jobs look for? The top searched job categories for Temporary Molecular Dynamics Simulation jobs are:
Temporary Molecular Dynamics Simulation jobs near you
Infographic showing various Temporary Molecular Dynamics Simulation job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 91% Full Time, 7% Part Time, and 1% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $80,687 per year, or $38.8 per hour.

SCIENTIST III

UAB NOVA RENT

Birmingham, AL • On-site

Full-time

Posted 22 days ago

Job description

Position Summary
The University of Alabama at Birmingham invites qualified candidates to apply for a Scientist III position in the Systems Pharmacology AI Research Center (SPARC) department. The candidate will frequently encounter high-level complexities that demand sharp judgment and rigorous decision-making. The role requires deep technical expertise across AI for science protein and antibody design, AI-driven molecular dynamics, agentic AI and autonomous research systems, clinical trial simulations, virtual cell modeling, multi-modal drug discovery, and retrosynthesis; combined with a strategic orientation toward research planning, execution, and translation. The selected candidate will lead the development of novel AI models and software systems that form essential components of SPARC's AI-accelerated drug discovery pipeline, direct in silico computational studies, and lead lab-in-the-loop collaborations with UAB, regional, and national experimental partners. Obtaining AI drug discovery research funding as a Co-Principal Investigator or Co-Investigator on extramural grant proposals is a major and recurring responsibility, alongside leading SPARC service activities not covered by existing external funding and authoring scientific manuscripts, progress reports, and grant documentation. Active research areas include protein and antibody design, novel AI approaches to molecular dynamics simulations, agentic AI and autonomous systems for science, clinical trial simulations, virtual cell modeling, multi-modal drug discovery, retrosynthesis, and AI for science more broadly. Excellent office, programming, and communication skills are essential. SPARC offers GPU/HPC infrastructure, large biomedical data assets, deep clinical partnerships, and direct opportunities to translate methodological advances into impact across the UAB School of Medicine.
General Responsibilities
  • To interpret, organize, execute and coordinate research assignments.
  • To formulate and conduct research on problems of considerable scope and complexity.
  • To explore subject area and define scope and selection of problems for investigation through conceptually related studies or series of projects of lesser scope.

Key Duties & Responsibilities
  1. Research Direction: Deciding the focus of the lab's research agenda, including selection of research projects that align with both current scientific needs and future potential.
  2. Methodological Choices: Making choices about research methodologies, including the selection of appropriate AI algorithms, data sources, and experimental designs that maximize the potential for impactful findings.
  3. Resource Allocation: Determining how to allocate limited resources, such as lab equipment, funding, and personnel time, in a manner that optimally supports ongoing and future research efforts.
  4. Team Leadership: Making decisions about the mentoring and development of research staff, prioritizing areas for skills development and guiding research assistants and interns toward achieving lab and project goals.
  5. Funding Opportunities: Identifying and prioritizing grant and external funding opportunities that will offer the highest yield for the lab's objectives, including making decisions on when and how to pursue these opportunities.
  6. Commercial Partnerships: Judging the viability and potential of industrial and commercial collaborations and deciding the terms under which these collaborations will proceed to ensure the mutual benefit of all stakeholders.
  7. Publication and Dissemination: Deciding when research findings are robust and significant enough for publication and choosing the appropriate platforms and journals for dissemination to ensure maximum impact.
  8. Perform other duties as assigned.

Salary Range : $ 80,300- $ 133,300
Qualifications
Qualifications
Doctor of Philosophy, D.V.M. or M.D. degree in a related field and six (6) years of related experience OR M.D. and Master's degree and four (4) years of related experience required. Work experience may NOT substitute for education requirement.
Preferences
  • Doctor of Philosophy (PhD) in biomedical informatics, computing, computer science, data science, artificial intelligence, or a closely related field. PhD completed within the last 10 years preferred.
  • AI/ML Expertise: Deep proficiency with modern machine learning, including deep learning, transformers, graph neural networks, generative models, and foundation models and their application across biomedical and chemical sciences.
  • Molecular and Structural AI: Hands-on experience with novel AI approaches to molecular dynamics simulations, protein/antibody structure prediction and design, retrosynthesis, and multi-modal drug discovery.
  • Programming and Engineering: Strong Python skills (PyTorch / JAX / TensorFlow); comfortable with HPC and GPU workflows, modern MLOps, and reproducible computational pipelines.
  • Agentic and Autonomous AI: Experience designing agentic AI workflows or autonomous research systems for science, including LLM tool-use, retrieval-augmented pipelines, and self-driving experimentation loops.
  • Statistical and Causal Reasoning: Strong statistical foundations including hypothesis testing, Bayesian inference, uncertainty quantification, and causal modeling for biomedical data.
  • Biomedical Data at Scale: Familiarity with large-scale biomedical, omics, imaging, clinical-trial, and chemical datasets, including data integration across modalities for virtual-cell and multi-modal drug-discovery applications.

Key Skills
  • Leadership: Ability to lead, guide, and mentor a team of researchers and students.
  • Communication: Excellent verbal and written communication skills for publishing research, delivering presentations, and grant writing.
  • Collaboration: Ability to work efficiently in a multidisciplinary environment, with the capability to integrate various scientific domains.
  • Problem-Solving: Strong analytical thinking and the ability to approach complex scientific problems creatively.
  • Time Management: Ability to manage multiple projects and deadlines effectively.

UAB is an Equal Employment/Equal Educational Opportunity Institution dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, sex (including pregnancy), genetic information, age, disability, and veteran's status. As required by Title IX, UAB prohibits sex discrimination in any education program or activity that it operates. Individuals may report concerns or questions to UAB's Assistant Vice President and Senior Title IX Coordinator. The Title IX notice of nondiscrimination is located at uab.edu/titleix.

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