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Biomolecular Jobs (NOW HIRING)

Technician III

Ithaca, NY · On-site

$37K - $47.40K/yr

Previous experience working in a biomolecular research laboratory setting. * Previous experience with basic biomolecular techniques such as ELISA, RNA isolation, PCR, Western blotting, cell culture ...

You will integrate these approaches with machine learning to explore novel workflows for quantum-informed drug discovery and biomolecular modeling. Your expertise in theoretical and computational ...

The Chemical and Biomolecular Engineering department is at the forefront of solving global challenges, from advancing renewable energy technologies to pioneering innovative healthcare solutions.

Machine Learning Scientist

Emeryville, CA · On-site +1

$180K - $250K/yr

We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into new technologies for biomolecular design. This position offers an opportunity to work at the ...

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Biomolecular information

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$74K

$152.7K

$300K

How much do biomolecular jobs pay per year?

As of May 30, 2026, the average yearly pay for biomolecular in the United States is $152,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $180,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Biomolecular Scientist, and why are they important?

To thrive as a Biomolecular Scientist, a solid background in molecular biology, biochemistry, and genetics, often supported by at least a bachelor's or master's degree in a life science field, is essential. Familiarity with laboratory techniques such as PCR, gel electrophoresis, and use of bioinformatics tools, as well as experience with laboratory information management systems (LIMS), is typically required. Attention to detail, strong analytical thinking, and effective collaboration skills help individuals excel in both independent research and team-based projects. These competencies are crucial for ensuring accurate experiments, reliable data interpretation, and successful progress in biomolecular research and development.

What are some common challenges faced by professionals working in biomolecular research, and how can they be overcome?

One common challenge in biomolecular research is keeping up with rapidly evolving technologies and methodologies. Researchers often need to continuously update their skills and knowledge to effectively analyze complex biological data and operate advanced laboratory equipment. Collaboration with interdisciplinary teams, such as bioinformaticians and chemists, is also essential, which requires strong communication and project management skills. To overcome these challenges, professionals are encouraged to participate in ongoing training, attend conferences, and actively engage in cross-functional projects within their organizations.

What are biomolecular scientists?

Biomolecular scientists are professionals who study the structure, function, and interactions of biological molecules such as proteins, nucleic acids, carbohydrates, and lipids. They use advanced laboratory techniques to understand how these molecules contribute to the processes of life, including health, disease, and cellular functions. Biomolecular scientists work in various fields, including biotechnology, pharmaceuticals, healthcare, and academic research, often contributing to discoveries in medicine, genetics, and environmental science.

What is the difference between Biomolecular vs Biochemist?

AspectBiomolecularBiochemist
Required CredentialsBachelor's or Master's in biology, biochemistry, or related fieldsBachelor's or Master's in biochemistry, chemistry, or related fields
Work EnvironmentLaboratories, research facilities, biotech companiesLaboratories, pharmaceutical companies, research institutions
Industry UsageBiotechnology, pharmaceuticals, academiaPharmaceuticals, research, academia
Common Search/ComparisonBiomolecularBiochemist

Biomolecular professionals focus on studying and manipulating biological molecules like proteins and nucleic acids, often working in biotech and research settings. Biochemists also study biological molecules but may have a broader focus on chemical processes within living organisms. Both roles require similar educational backgrounds and often overlap in research environments, but their specific applications and focus areas differ slightly.

More about Biomolecular jobs
What states have the most Biomolecular jobs? States with the most job openings for Biomolecular jobs include:
Infographic showing various Biomolecular job openings in the United States as of May 2026, with employment types broken down into 92% Full Time, 7% Part Time, and 1% Temporary. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $152,666 per year, or $73.4 per hour.
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

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


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

Requisition Id 16217
Overview:
The Multiscale Biomedical Systems Group within the Advanced Computing in Health (ACH) section of the Computational Sciences and Engineering Division (CSED) at Oak Ridge National Laboratory (ORNL) seeks a motivated Postdoctoral Research Associate.
This position primarily focuses on large-scale molecular dynamics (MD) simulations and AI-integrated multiscale modeling of complex biosystems. The successful candidate will also contribute to efforts that bridge molecular, cellular, and systems-level modeling, with growing relevance to emerging paradigms such as whole-cell modeling and networked biological systems.
You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing resources and collaborating across ORNL, federal agencies, and academic partners.
Key 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

Required Qualifications:
  • 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 Qualifications:
  • 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

Special Requirements:
Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.
Security, Credentialing, and Eligibility Requirements:
For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation.
To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.
About ORNL:
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.
ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.
Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

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