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Computational Systems Biology Jobs (NOW HIRING)

D. in Computational Biology, Systems Biology, Genome Science, or a related field. * Biology: Deep understanding of genetics, molecular biology, biochemistry, cellular functions, and organismal ...

D. in Computational Biology, Systems Biology, Genome Science, or a related field. * Biology: Deep understanding of genetics, molecular biology, biochemistry, cellular functions, and organismal ...

D. in Computational Biology, Systems Biology, Genome Science, or a related field. * Biology: Deep understanding of genetics, molecular biology, biochemistry, cellular functions, and organismal ...

D. in Computational Biology, Systems Biology, Genome Science, or a related field. * Biology: Deep understanding of genetics, molecular biology, biochemistry, cellular functions, and organismal ...

D. in Computational Biology, Systems Biology, Genome Science, or a related field. * Biology: Deep understanding of genetics, molecular biology, biochemistry, cellular functions, and organismal ...

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Computational Systems Biology information

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How much do computational systems biology jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for computational systems biology in the United States is $54.32, according to ZipRecruiter salary data. Most workers in this role earn between $41.83 and $64.42 per hour, depending on experience, location, and employer.

Do computational biologists get paid well?

Computational biologists typically earn competitive salaries that reflect their specialized skills in data analysis, programming, and biological research. Salaries vary based on experience, education, and location, but they are generally above average compared to many other scientific roles. Advanced expertise and proficiency with tools like Python, R, and modeling software can lead to higher compensation.

What biology jobs pay over $100k?

In computational systems biology, roles such as senior bioinformatics scientist, research director, or data science lead often have salaries exceeding $100,000 annually. These positions typically require advanced degrees, strong programming skills, and experience with large biological datasets or modeling tools.

What is computational systems biology?

Computational systems biology is an interdisciplinary field that uses computational methods, mathematical modeling, and systems theory to understand complex biological systems. It integrates data from genomics, proteomics, and other high-throughput technologies to build models that simulate the behavior of biological networks and pathways. This approach helps researchers predict how biological systems respond to different conditions, design experiments more efficiently, and uncover principles underlying life processes. Computational systems biology is crucial for advancing personalized medicine, drug discovery, and our overall understanding of biology.

What is the difference between Computational Systems Biology vs Bioinformatics Specialist?

AspectComputational Systems BiologyBioinformatics Specialist
Required CredentialsPhD or Master’s in Computational Biology, Bioinformatics, or related fieldsBachelor’s or Master’s in Bioinformatics, Computer Science, or related fields
Work EnvironmentResearch labs, academic institutions, biotech companiesHealthcare, research institutions, biotech firms
Industry UsageAcademic research, drug discovery, systems-level analysisGenomic data analysis, sequence alignment, data management

Computational Systems Biology and Bioinformatics Specialist roles often overlap but differ in focus. Computational Systems Biology emphasizes modeling biological systems at a systems level, while Bioinformatics Specialists focus on analyzing biological data, especially genomic sequences. Both roles require strong computational skills and are vital in biotech and research industries.

What jobs can I get with computational biology?

With a background in computational systems biology, common job roles include bioinformatics analyst, computational biologist, research scientist, data scientist in biotech, and systems biologist. These positions often require skills in programming, data analysis, and biological knowledge, and may involve working in research labs, pharmaceutical companies, or healthcare organizations.

Will computational biology be replaced by AI?

Computational Systems Biology involves using algorithms and modeling to understand biological systems, and AI tools are increasingly integrated to analyze large datasets and improve predictions. While AI enhances efficiency and capabilities, it complements rather than replaces the expertise and critical thinking of professionals in the field, making human oversight essential. Continuous learning in programming, data analysis, and biological knowledge remains important for job success in this area.

What are some common interdisciplinary collaborations for professionals in Computational Systems Biology?

Professionals in Computational Systems Biology frequently collaborate with experts in fields such as molecular biology, bioinformatics, computer science, and clinical research. These collaborations are essential for integrating experimental data, developing computational models, and interpreting complex biological systems. Teamwork often involves regular meetings, data-sharing platforms, and joint project planning to ensure that computational insights are effectively translated into biological understanding and practical applications. Such a collaborative environment fosters skill development and opens pathways for career advancement within both research and industry settings.

What are the key skills and qualifications needed to thrive as a Computational Systems Biologist, and why are they important?

To thrive as a Computational Systems Biologist, you need a strong background in biology, mathematics, and computer science, often supported by an advanced degree in a related field. Expertise in programming languages (such as Python or R), familiarity with bioinformatics tools, and experience using systems biology modeling platforms (like MATLAB or CellDesigner) are commonly required. Strong analytical thinking, problem-solving abilities, and effective collaboration skills set top performers apart in this interdisciplinary domain. These skills are crucial for understanding complex biological systems, developing predictive models, and advancing research in biomedical science.
More about Computational Systems Biology jobs
What cities are hiring for Computational Systems Biology jobs? Cities with the most Computational Systems Biology job openings:
What states have the most Computational Systems Biology jobs? States with the most job openings for Computational Systems Biology jobs include:
Infographic showing various Computational Systems Biology job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $112,983 per year, or $54.3 per hour.

Genomics Computational Systems Biologist

Goldbelt Apex

Fort Detrick, MD

$90K - $100K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


Job description

Overview

Please note that this position is contingent upon the successful award of a contract currently under bid.

Goldbelt Apex, a part of the Healthcare Technology Transformation Group, is a data-focused company dedicated to process and quality in every aspect. As experts in healthcare IT experts, Apex is committed to building systems for healthcare organizations to seamlessly communicate and exchange data across different systems and devices. 

Summary:

The Genomics Computational Systems Biologist develops and applies computational pipelines to process and analyze genomic and proteomic data in support of infectious disease research. Supports the development and execution of computational workflows for multiomics data used in pathogen discovery and systems biology research.

Responsibilities

Essential Job Functions:

  • Build and maintain data pipelines for NGS and proteomics workflows.
  • Integrate and visualize multiomics datasets.
  • Assist in systems biology modeling and data interpretation.
  • Work closely with lab scientists to support experimental design.
  • Document pipeline code and support reproducibility standards.
  • Provides laboratory and scientific support to perform computational and analytical tool development, comprising the ability to construct high-throughput analysis pipelines for multiomics data, and to integrate with in-house databases.
  • Works with scripting languages (Perl, Python, R, etc.), programming languages (Java, C++), manages large -omics data sets (genomics, proteomics, etc.), works with databases (Oracle, MySQL, etc.) and transports data between systems.
  • Runs analytical workflows for standard -omics data sets. Maintains analytical pipelines code, open-source tools installations and maintenance.
  • Works with both technical and non-technical personnel in multiple fields of expertise.
  • Reviews Standard Operating Procedures and workflows in accordance with applicable policies.
Qualifications

Necessary Skills and Knowledge:

  • Programming skills in Python, R, and Unix/Linux environments.
  • Familiarity with genomics tools (e.g., STAR, TopHat, BWA).
  • Understanding of relational databases (e.g., MySQL, PostgreSQL).
  • Excellent documentation and team collaboration skills.
  • Possess strong background in bioinformatics and adept in multiomics data management.
  • Must have knowledge of bioinformatics programming design, modification and implantation, knowledge of open-source application and data security concepts and methods.

Minimum Qualifications:

  • Bachelor's degree in bioinformatics, computer science, or related discipline.
  • Minimum 2+ years in computational biology, bioinformatics, or a related field.
  • Ability to obtain and maintain a SECRET security clearance eligibility, with no access to classified information, is required.
  • Enroll in the Personnel Reliability Program (PRP), if required.

Preferred Qualifications:

  • ACTIVE SECRET is preferred
  • Master's degree preferred.
  • May have experience in Proteomics, Genomics, High Content Imaging and academic research environment. Preferred ability to use next generation sequencing open source tools such as BLAST, STAR, TopHat, CuffLinks, BWA, GATK and other multiomics applications.

Pay and Benefits

The salary range for this position is $90,000 to $100,000 annually.

At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.

Employment Type: FULL_TIME