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Temporary Molecular Dynamics Simulation Jobs in Virginia

Varsity Tutors

College Biology Tutor

Richmond, VA · Remote

$18 - $40/hr

... and molecular genetics, natural selection, and ecosystem dynamics while preparing students for ... Adapts instruction using visual diagrams, virtual lab simulations, and MCAT-aligned practice to ...

Varsity Tutors

College Biology Tutor

Alexandria, VA · Remote

$18 - $40/hr

... and molecular genetics, natural selection, and ecosystem dynamics while preparing students for ... Adapts instruction using visual diagrams, virtual lab simulations, and MCAT-aligned practice to ...

Varsity Tutors

College Biology Tutor

Norfolk, VA · Remote

$18 - $40/hr

... and molecular genetics, natural selection, and ecosystem dynamics while preparing students for ... Adapts instruction using visual diagrams, virtual lab simulations, and MCAT-aligned practice to ...

Varsity Tutors

College Biology Tutor

Leesburg, VA · Remote

$18 - $40/hr

... and molecular genetics, natural selection, and ecosystem dynamics while preparing students for ... Adapts instruction using visual diagrams, virtual lab simulations, and MCAT-aligned practice to ...

Varsity Tutors

College Biology Tutor

Salem, VA · Remote

$18 - $40/hr

... and molecular genetics, natural selection, and ecosystem dynamics while preparing students for ... Adapts instruction using visual diagrams, virtual lab simulations, and MCAT-aligned practice to ...

Varsity Tutors

College Biology Tutor

Charlottesville, VA · Remote

$18 - $40/hr

... and molecular genetics, natural selection, and ecosystem dynamics while preparing students for ... Adapts instruction using visual diagrams, virtual lab simulations, and MCAT-aligned practice to ...

Varsity Tutors

College Biology Tutor

Blacksburg, VA · Remote

$18 - $40/hr

... and molecular genetics, natural selection, and ecosystem dynamics while preparing students for ... Adapts instruction using visual diagrams, virtual lab simulations, and MCAT-aligned practice to ...

Varsity Tutors

College Biology Tutor

Virginia Beach, VA · Remote

$18 - $40/hr

... and molecular genetics, natural selection, and ecosystem dynamics while preparing students for ... Adapts instruction using visual diagrams, virtual lab simulations, and MCAT-aligned practice to ...

Varsity Tutors

College Biology Tutor

Fairfax, VA · Remote

$18 - $40/hr

... and molecular genetics, natural selection, and ecosystem dynamics while preparing students for ... Adapts instruction using visual diagrams, virtual lab simulations, and MCAT-aligned practice to ...

PCCI

Project Engineer II Naval Architect

Alexandria, VA · On-site

$90K - $100K/yr

... temporary and permanent mooring systems, including lines, chains, anchors, buoys, fittings, deck ... dynamic simulations, and operational risk assessments. * Assist with underwater systems, subsea ...

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All JobsMolecular Dynamics Simulation JobsTemporary Molecular Dynamics Simulation JobsTemporary Molecular Dynamics Simulation Jobs in Virginia

Temporary Molecular Dynamics Simulation information

What is a temporary molecular dynamics simulation?

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.

What are the key skills and qualifications needed to thrive as a molecular dynamics simulation specialist?

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 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 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.

What are the most commonly searched types of Molecular Dynamics Simulation jobs in Virginia?

The most popular types of Molecular Dynamics Simulation jobs in Virginia are:

What are popular job titles related to Temporary Molecular Dynamics Simulation jobs in Virginia?

For Temporary Molecular Dynamics Simulation jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Temporary Molecular Dynamics Simulation jobs in Virginia look for?

The top searched job categories for Temporary Molecular Dynamics Simulation jobs in Virginia are:

What cities in Virginia are hiring for Temporary Molecular Dynamics Simulation jobs?

Cities in Virginia with the most Temporary Molecular Dynamics Simulation job openings:

Temporary Molecular Dynamics Simulation jobs near you
Infographic showing various Temporary Molecular Dynamics Simulation job openings in Virginia as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution.

AI Engineer - AI+CryoET

Howard Hughes Medical Institute (HHMI)

Ashburn, VA • On-site

Full-time

Medical, Retirement

Re-posted 21 days ago

Key responsibilities

  • Develop and evaluate deep learning models for detecting and localizing particles and macromolecular structures in cryoET data.

  • Develop methods to leverage particle detections to improve tomogram reconstruction and address related challenges.

  • Design and execute AI model training and evaluation pipelines, including handling artifacts and transfer learning from synthetic data.

Job description

Primary Work Address: 19700 Helix Drive, Ashburn, VA, 20147
Current HHMI Employees, click here to apply via your Workday account.
TLDR: Build AI methods for 3D particle detection and structural analysis in cryo-electron tomography data, applied to chromatin organization and synaptic molecular targets.
Please include a cover letter with your application. Describe a deep learning project you have executed, ideally involving 3D image analysis, inverse problems, or physics-informed modeling. Cryo-EM/ET and computational structural biology projects are especially relevant. Discuss results, limitations, and challenges encountered. If the project was collaborative, describe your specific contributions. Include links to relevant code repositories and your GitHub/Gitlab profile, personal website, or similar evidence.
About the role:
AI@HHMI: HHMI is investing $500 million over the next 10 years to support AI-driven projects and to embed AI systems throughout every stage of the scientific process in labs across HHMI. This role is part of the AI+CryoET project within AI@HHMI, a multi-institutional project at the intersection of cryo-electron tomography (cryoET), molecular dynamics simulation, and machine learning. The project aims to develop AI methods for mesoscale structural biology, understanding how cellular macromolecules organize into higher-order structures. You will work in a team at Janelia, with experimental and computational collaborators across the Rosen lab (UT Southwestern Medical Center/HHMI), Gouaux lab (Oregon Health and Science University/HHMI), Collepardo-Guevara lab (University of Cambridge), and Villa lab (UC San Diego/HHMI).
You will develop machine learning methods for particle detection, localization, and structural analysis in cryoET data, with two interconnected aims: (1) detecting gold nanoparticle (AuNP) probes to improve reconstruction quality and identify molecular targets; (2) identifying the arrangement and connectivity of nucleosomes in chromatin that give rise to chromosome structure in cell nuclei and biochemical reconstitutions. This involves developing supervised and self-supervised AI models based on simulated as well as annotated experimental cryoET data, informed by molecular dynamics simulations of relevant biological structures. Success in this role requires close collaboration with cryoET experts, structural biologists, and computer scientists to ensure models work in challenging real-world scenarios of a biologically not yet fully understood system.
What we provide:
  • A competitive compensation package with comprehensive health and welfare benefits.
  • A supportive team environment that promotes collaboration and knowledge sharing.
  • Access to world-class computational infrastructure, GPU-based computing environments, and unique high-quality cryoET datasets.
  • The opportunity to work directly with leading structural biologists, cryoET experimentalists, and molecular dynamics experts on a highly interdisciplinary project.
  • The opportunity to engage with world-class researchers, software engineers, and AI/ML experts, contribute to impactful science, and be part of a dynamic community committed to advancing humanity's understanding of fundamental scientific questions.
  • Amenities that enhance work-life balance, such as on-site childcare, free gyms, available on-campus housing, social and dining spaces, and convenient shuttle bus service to Janelia from the Washington, D.C. metro area.
  • Opportunity to partner with frontier AI labs on scientific applications of AI. See https://www.anthropic.com/news/anthropic-partners-with-allen-institute-and-howard-hughes-medical-institute

What you'll do:
  • Develop and evaluate deep learning models for detecting and localizing gold nanoparticles and macromolecular particles (e.g., nucleosomes, synaptic receptors) in cryoET data, and for identification of nucleosome arrangement and connectivity in chromatin.
  • Develop methods to leverage gold nanoparticle detections to improve tomogram reconstruction, addressing challenges in tilt-series alignment, deformations, and low signal-to-noise conditions.
  • Design and execute rigorous AI model training and evaluation pipelines, including proper handling of missing wedge artifacts, CTF effects, and sim-to-real transfer from MD-derived synthetic training data.
  • Identify where additional human annotation and proofreading will be most helpful and design and guide annotation efforts.
  • Contribute to scientific publications, present findings at conferences, and maintain a well-documented codebase enabling seamless reproduction and extension of results.
  • Collaborate with interdisciplinary teams across multiple institutions.

What you bring:
  • Master's or PhD in Computer Science, Applied Mathematics, Physics, Computational Chemistry, or a related field, or equivalent combination of education and experience.
  • 3+ years training and evaluating deep learning models, particularly on 3D or volumetric image data. Experience with detection, segmentation, or inverse problems in imaging is strongly preferred.
  • Strong Python skills, and proficiency in PyTorch and/or JAX. Ability to reason about neural network behavior from first principles: how architectural choices, regularization, and training procedures affect model behavior.
  • Rigorous experimental design: model comparisons, ablation studies, reproducibility.
  • Commitment to open science.
  • Experience with scalable GPU-based computing environments on Linux HPC clusters and high-throughput processing for large-scale data.
  • Excellent communication skills and keen interest in working in a truly interdisciplinary environment.

Ways to stand out:
  • Experience with cryo-EM/ET data processing, tomographic reconstruction, or related inverse problems in imaging.
  • Familiarity with molecular dynamics simulations (e.g., OpenMM, LAMMPS) and/or synthetic data generation for training ML models.
  • Experience with differentiable rendering, neural radiance fields, or analysis-by-synthesis approaches for 3D reconstruction.
  • Knowledge of cryoET software tools (IMOD, Warp, RELION, AreTomo etc.) or microscopy data formats (MRC, Zarr).
  • Experience with template matching, sub-tomogram averaging, or particle picking in cryo-EM/ET contexts.

Physical Requirements:
Remaining in a normal seated or standing position for extended periods of time; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers, for example using a keyboard; communication skills using the spoken word; ability to see and hear within normal parameters; ability to move about workspace. The position requires mobility, including the ability to move materials weighing up to several pounds (such as a laptop computer or tablet).
Persons with disabilities may be able to perform the essential duties of this position with reasonable accommodation. Requests for reasonable accommodation will be evaluated on an individual basis.
Please Note:
This job description sets forth the job's principal duties, responsibilities, and requirements; it should not be construed as an exhaustive statement, however. Unless they begin with the word "may," the Essential Duties and Responsibilities described above are "essential functions" of the job, as defined by the Americans with Disabilities Act.
Hiring Pay Range
AI Engineer I: $100,178.62 - $125,223.28
AI Engineer II: $128,050.62 - $160,063.28
AI Engineer III: $155,495.81 - $194,369.76
AI Engineer IV: $191,831.74 - $239,789.68
Pay Type: Salary
The posted range reflects HHMI's good faith estimate of the anticipated hiring salary range for this role at the time of posting. Actual hiring compensation is determined by a candidate's qualifications, experience, and internal equity.
#LI-BG1
Compensation and Benefits
Our employees are compensated from a total rewards perspective in many ways for their contributions to our mission, including competitive pay, exceptional health benefits, retirement plans, time off, and a range of recognition and wellness programs. Visit our Benefits at HHMI site to learn more.
HHMI is an Equal Opportunity Employer
We use E-Verify to confirm the identity and employment eligibility of all new hires.

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