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Computational Biochemistry Jobs in Virginia (NOW HIRING)

Computational Biochemistry information

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$40

$54

$73

How much do computational biochemistry jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for computational biochemistry in Virginia is $54.46, according to ZipRecruiter salary data. Most workers in this role earn between $46.49 and $72.93 per hour, depending on experience, location, and employer.

What does a computational biochemistry do?

A computational biochemist uses computer models and simulations to study biological molecules and processes, such as protein structures, drug interactions, and metabolic pathways. They often work with software tools like molecular dynamics and structural modeling to analyze data and support experimental research.

What skills and qualifications are needed to thrive as a computational biochemist?

To excel in Computational Biochemistry, you need a solid background in biochemistry, molecular biology, and computer science, often supported by a relevant advanced degree such as a Master's or PhD. Familiarity with molecular modeling software, statistical analysis tools, programming languages (such as Python, R, or C++), and experience with high-performance computing systems are typically required. Strong problem-solving skills, attention to detail, and effective teamwork and communication abilities are highly valued. These skills are crucial for successfully analyzing complex biological data, developing predictive models, and collaborating on multidisciplinary research projects.

What does a computational biochemist do?

As a Computational Biochemist, your daily tasks often include developing and running molecular simulations, analyzing biochemical data sets, and collaborating with laboratory researchers to design experiments. You may spend a significant portion of your time coding, troubleshooting computational models, and interpreting complex results to guide research decisions. Regular meetings with cross-functional teams are common, ensuring that computational findings are integrated into ongoing projects. This blend of independent technical work and collaborative efforts supports the advancement of scientific discovery and drug development.

What is a computational biochemist?

A Computational Biochemistry job involves using computer models, simulations, and data analysis to study biological molecules and processes. Professionals in this field apply computational techniques to understand protein structures, enzyme functions, drug interactions, and biomolecular dynamics. They often work in pharmaceutical research, biotechnology, or academia to accelerate drug discovery and understand disease mechanisms. Strong skills in programming, molecular modeling, and statistical analysis are essential for success in this role.

Does computational biochemistry pay well?

Computational biochemistry professionals typically earn competitive salaries that vary based on experience, education, and location. Entry-level positions may start lower, but experienced specialists with skills in programming, molecular modeling, and data analysis can command higher wages, especially in research institutions or biotech companies.
What are the most commonly searched types of Computational Biochemistry jobs in Virginia? The most popular types of Computational Biochemistry jobs in Virginia are:
Infographic showing various Computational Biochemistry job openings in Virginia as of August 2026, with employment types broken down into 2% Internship, 58% Full Time, 37% Part Time, 1% Temporary, and 2% Contract. Highlights an 58% Physical, 3% Hybrid, and 39% Remote job distribution, with an average salary of $113,270 per year, or $54.5 per hour.

Computational Biology SETA (TS/SCI #26-071) with Security Clearance

Strategic Analysis, Inc.

Arlington, VA • On-site

$160K - $190K/yr

Other

Re-posted 2 days ago


Job description

Strategic Analysis, Inc. is an Equal Opportunity Employer. Computational Biology SETA (TS/SCI #26-071) Job Code:26-071
Location:Arlington, VA - Hybrid
FT/PT Status:Full Time
Required Clearance:Top Secret SCI
Salary Range:$160k-$190k Strategic Analysis, Inc. is seeking a candidate to provide scientific support with Computational Biology expertise. The successful candidate will support the Defense Advanced Research Projects Agency (DARPA) in managing and developing programs in high-risk, high-reward research and development (R&D) projects. A key element of this role is proactive communication, both written and oral, with key stakeholders including performers, supporting organizations, military transition partners, and international collaborators. Programs related to process scale-up of biotechnology (from bench to pilot); modularization of biotechnological processes; high-throughput Metallo-biology assessment; quantum mechanical and molecular models; Artificial-Intelligence & machine learning for hierarchical environmental model development; inorganic chemistry; solvent extractions; process-flow sheets and business development; IP/patent law. The candidate is expected to function as part of a strongly collaborative scientific and technical team, but also to act independently to complete time-critical tasks. The candidate must be comfortable in working at security levels across the spectrum from unclassified open discussion potentially with foreign nationals to collateral classified programs with validated higher levels of need-to-know. Required Capabilities and Characteristics: 1.) Seeking a highly skilled and motivated SETA to support the conceptualization, development, and execution of cutting-edge DARPA programs. 2.) Ability to support the development and management of new programs in strategic communication. 3.) Experience in computational biology, quantum mechanical models, physics and/or biophysics, biochemistry, metallo-biology, materials science, geochemistry, synthetic biology, genetics, test and evaluation, and experience in IP/patent law and licensing. 4.) Experience in research related to 2nd-order molecular interactions and coordination chemistry are a plus. 5.) Excellent technical writing skills and organization are required. 6.) Must be able to communicate complex scientific ideas to diverse audiences and synthesize research findings and insights across a broad range of biotechnological areas. 7.) Additional ability to identify opportunities for scientific innovation, and handle a wide variety of tasks, such as briefing support and general administrative actions is required. 8.) Must be able to work within a multi-disciplinary team and handle a wide variety of tasks, including briefing support, program management, and general administrative actions. Key Responsibilities: 1.) Assist in the conceptualization and design of various DARPA programs technologies. 3.) Monitor and evaluate the progress of funded research programs, providing feedback and recommendations to Program Manager. 4.) Support project development and management advancing biological-metal interactions and quantum mechanical modeling. Identify emerging trends and opportunities to inform future program directions. 5.) Facilitate collaboration between DARPA, academic institutions, industry partners, and government stakeholders. 6.) Prepare technical reports, briefings, and presentations to communicate program progress and outcomes. 7.) Other duties as assigned. Education: Ph.D. Computational Biology, Quantum Physics, or similar degree. Clearance: DoD TS/SCI security clearance is preferred, must have a secret clearance. Strategic Analysis, Inc. is an Equal Opportunity employer and is committed to non-discrimination in employment. All qualified applicants will receive consideration for employment without regard to race, color, religions, sex (including pregnancy, sexual orientation, or gender identity), national origin, disability (physical or mental), age (40 or older), protected veteran status, genetic information (including family medical history) or any other characteristic protected by law. This policy includes but is not limited to the following employment actions: recruitment, hiring, firing, promotion, demotion, compensation, fringe benefits, training, mentoring and sponsorship programs.