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$9

$18

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How much do postdoc associate jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for postdoc associate in Tennessee is $18.03, according to ZipRecruiter salary data. Most workers in this role earn between $13.51 and $18.75 per hour, depending on experience, location, and employer.

What is the difference between Postdoc Associate vs Research Scientist?

AspectPostdoc AssociateResearch Scientist
Required CredentialsDoctoral degree (Ph.D.) in relevant fieldMaster's or Ph.D., often with more industry experience
Work EnvironmentAcademic or research institutions, labsIndustry, corporate R&D labs, biotech firms
Employer & Industry UsageUniversities, government research agenciesPrivate companies, biotech, pharmaceuticals
Common Search & ComparisonYesYes

The main difference between a Postdoc Associate and a Research Scientist lies in their work environment and career stage. Postdoc Associates typically work in academic or research institutions focusing on research and publishing, often as a stepping stone to faculty roles. Research Scientists usually work in industry settings, applying research to product development or innovation, often with more experience and responsibilities.

Postdoc Associate jobs near you
Postdoctoral Research Associate, Atomistic Simulations & AI-Driven Molecular Modeling

Postdoctoral Research Associate, Atomistic Simulations & AI-Driven Molecular Modeling

Oak Ridge National Laboratory

Oak Ridge, TN • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Oak Ridge National Laboratory rating

9.3

Company rating: 9.3 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

4th of 103 rated laboratories

Job description

Job Summary:
Oak Ridge National Laboratory (ORNL) is seeking a motivated Postdoctoral Research Associate to focus on large-scale molecular dynamics simulations and AI-integrated multiscale modeling of complex biosystems. The successful candidate will work at the intersection of high-performance computing, computational biophysics, and machine learning, contributing to interdisciplinary research and collaboration efforts across various teams.
Responsibilities:
• Develop and apply scalable molecular dynamics (MD) and multiscale simulation workflows for biomolecular systems (proteins, enzymes, membranes, and complexes)
• Integrate AI/ML approaches with physics-based simulations to accelerate discovery and improve predictive fidelity
• Contribute to cross-scale modeling frameworks linking molecular interactions to cellular and network-level behavior (e.g. protein-protein interaction, PPI, network analysis)
• Optimize simulation codes and workflows for leadership-class HPC architectures
• Collaborate across interdisciplinary teams spanning biology, chemistry, computer science, and applied mathematics
• Publish findings in high-impact journals and present at leading conferences
Qualifications:
Required:
• Ph.D. (within 0–5 years) in computational bioscience, computational biophysics, computer science, or a related field
• Strong programming skills in C++, Python, or similar scientific computing languages
• Hands-on experience with MD simulation tools such as NAMD, GROMACS, AMBER, or LAMMPS, and visualization tools (e.g., VMD, PyMOL)
• Experience working on high-performance computing (HPC) systems
• Demonstrated ability to conduct independent research with a good publication record
• Excellent written and verbal communication skills for interdisciplinary collaboration
• Commitment to ORNL’s core values: Impact, Integrity, Teamwork, Safety, and Service
Preferred:
• Deep expertise in atomistic and multiscale simulation methods (e.g., MD, enhanced sampling, QM/MM)
• Experience improving performance and scalability of simulation workflows via: Parallelization and performance engineering, GPU/accelerator optimization, Algorithmic innovation
• Experience applying machine learning or AI to molecular simulation, including: Surrogate models or learned potentials, Generative models for biomolecular design, Representation learning for biomolecular systems
• Familiarity with protein–protein interaction (PPI) networks, signaling pathways, or systems biology models (bioinformatics tools and models)
• Experience with integrated multiscale modeling frameworks connecting molecular dynamics to cellular or tissue-scale processes
• Experience with deep learning frameworks such as PyTorch or TensorFlow
• Exposure to AI-enabled scientific workflows that couple simulation with data-driven modeling, including emerging approaches involving foundation models or scientific LLMs
Company:
Oak Ridge National Laboratory holds a range of R&D assignments, from fundamental nuclear physics to applied R&D on advanced energy systems. Founded in 1943, the company is headquartered in Oak Ridge, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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