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How much do computational biologist jobs pay per year?

As of Jun 13, 2026, the average yearly pay for computational biologist in the United States is $93,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,500.00 and $117,000.00 per year, depending on experience, location, and employer.

What are some common interdisciplinary collaborations for a Computational Biologist, and how do these impact daily work?

Computational Biologists frequently collaborate with laboratory scientists, statisticians, and software engineers to analyze complex biological data. These interdisciplinary interactions mean that communication skills are essential, as you’ll often translate computational findings into actionable insights for experimental teams. Daily responsibilities may include attending joint meetings, discussing data analysis strategies, and integrating feedback from collaborators to refine models. This collaborative environment fosters both scientific discovery and personal growth, offering exposure to diverse perspectives and expertise.

What Is a Computational Biologist?

A computational biologist is a skilled scientist who uses complex computer algorithms to research and analyze biological systems. This highly specialized job entails using computers and advanced data analytics software to research biological topics such as genetic sequencing, cellular growth numbers, and protein sampling. As a computational biologist, your duties are to code computer algorithms and perform bioinformatics research in the lab. You may also work with students by using the data from their bioinformatics research.

What is a computational biologist?

A computational biologist is a scientist who uses mathematical models, computer algorithms, and data analysis techniques to study biological systems and processes. Their work often involves analyzing large datasets, such as genomic sequences or protein structures, to gain insights into biology and medicine. Computational biologists play a crucial role in fields like genomics, drug discovery, and personalized medicine by helping interpret complex biological data. They typically collaborate with experimental biologists and use programming languages and specialized software in their research.

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

To thrive as a Computational Biologist, you need a strong background in biology, mathematics, statistics, and computer science, often supported by an advanced degree in a relevant field. Proficiency with programming languages (such as Python or R), bioinformatics tools, and data analysis platforms is essential. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills for this role. These skills are critical for analyzing complex biological data, interpreting results, and collaborating with multidisciplinary teams to advance scientific research.
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Computational Biologist jobs near you
Infographic showing various Computational Biologist job openings in the United States as of June 2026, with employment types broken down into 14% Full Time, 85% Part Time, and 1% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $93,988 per year, or $45.2 per hour.

Computational Biology/Bioinformatician

Attaineo Search, Inc.

Baltimore, MD • On-site

Full-time

Posted 17 days ago

Job description

Job Description
Position: Computational Biologist/Bioinformatician
Location: Baltimore, Maryland (Remote)
We are actively seeking a Computational Biologist/Bioinformatician to augment our R&D team. Our focus is on innovating advanced molecular diagnostics kits, devices, and methodologies for the analysis of biological data, reporting directly to the VP of Technology Development.
Key Responsibilities:
  • Pioneeringthe development of innovative software tools, algorithms, and analysispipelines to expedite the transition from concept to practical testing.
  • Leadingthe in-silico design and characterization of new molecular assays forinfectious diseases, leveraging qPCR and related technologies.
  • Supervisingthe conversion of extensive biological customer data into actionableinsights through data mining, advanced visualizations, and machinelearning.
  • Assistingthe R&D team in creating scripts for efficient calculations andproject management.
  • Directingthe company's overarching initiatives in the digitization of biology.

Requirements
  • Hold aMaster's or Ph.D. degree with a minimum of 3 years of relevant workexperience.
  • Possessextensive knowledge in computational biology or bioinformatics,mathematics, and computer programming.
  • Capabilityto work independently on complex and challenging projects.
  • Proficiencyin and a passion for data visualization and effective communication ofdata science findings.
  • Demonstrableexperience with data science toolkits, machine learning, statisticalmodeling, and tool development.
  • Solidunderstanding of developing ML and statistical models for real-worldapplications.
  • Strongprogramming skills in Python and/or R; familiarity with Rust is a plus.
  • Experiencewith Linux High Performance Computing (HPC) cluster is advantageous.

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