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Computational Biology Jobs (NOW HIRING)

Neptune Bio

Computational Biologist

New York, NY

Stay current with advances in computational biology, machine learning, and scalable infrastructure, applying them to ongoing research challenges. * Communicate findings clearly through reports ...

Neptune Bio

Computational Biologist

New York, NY · On-site

Stay current with advances in computational biology, machine learning, and scalable infrastructure, applying them to ongoing research challenges. * Communicate findings clearly through reports ...

Ionis

Director, Computational Biology

Carlsbad, CA · On-site +1

DIRECTOR, COMPUTATIONAL BIOLOGY SUMMARY: We are seeking an exceptional computational biologist to lead target identification and multi-omics research efforts. In this role, you will drive the use of ...

Battelle

Computational Biologist

Columbus, OH · On-site

S. plus 10 years of experience in biochemistry, biophysics, computational biology, structural biology, or a closely related field * Deep expertise in computational protein engineering, including AI ...

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How much do computational biology jobs pay per year?

As of Jul 3, 2026, the average yearly pay for computational biology 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.

How do computational biologists typically collaborate with experimental scientists in research projects?

Computational biologists frequently work alongside experimental biologists to interpret data, design experiments, and develop new hypotheses. Collaboration often involves regular meetings to align on research goals, data sharing, and troubleshooting analytical challenges together. Being able to communicate complex computational findings in accessible terms is crucial for ensuring that experimental teams can act on the insights provided. This interdisciplinary teamwork not only enhances research outcomes but also broadens professional skill sets, making the role both dynamic and rewarding.

What is the difference between Computational Biology vs Bioinformatics?

AspectComputational BiologyBioinformatics
Required CredentialsTypically requires a PhD in biology, bioinformatics, or related fieldsOften requires a bachelor's or master's degree in computer science, biology, or bioinformatics
Work EnvironmentResearch labs, academia, biotech companiesResearch labs, healthcare, biotech, and pharmaceutical industries
Industry UsageUsed for modeling biological systems and understanding complex biological dataPrimarily focused on developing algorithms and tools to analyze biological data

Computational Biology and Bioinformatics are closely related fields that often overlap. Computational Biology emphasizes modeling and understanding biological systems through computational methods, often requiring advanced degrees. Bioinformatics focuses on developing tools and algorithms to analyze biological data, typically with a background in computer science or biology. Both roles are vital in research and industry, but they differ in their primary focus and educational requirements.

What is computational biology?

Computational biology is an interdisciplinary field that uses data analysis, mathematical modeling, and computer simulations to understand biological systems and relationships. Researchers in this area develop algorithms and software to analyze large sets of biological data, such as DNA sequences or protein structures. Computational biology plays a crucial role in genomics, drug discovery, systems biology, and personalized medicine, helping scientists make sense of complex biological information.

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, statistics, and computer science, often supported by a relevant degree such as bioinformatics, computational biology, or a related discipline. Familiarity with programming languages like Python or R, experience using bioinformatics tools (e.g., BLAST, Bioconductor), and knowledge of data analysis pipelines are typically required. Strong problem-solving, collaboration, and communication skills help computational biologists interpret complex datasets and work effectively with interdisciplinary teams. These competencies are crucial for extracting meaningful biological insights from large datasets and advancing research in genomics, drug discovery, and personalized medicine.
More about Computational Biology jobs
What cities are hiring for Computational Biology jobs? Cities with the most Computational Biology job openings:
What are the most commonly searched types of Computational Biology jobs? The most popular types of Computational Biology jobs are:
What states have the most Computational Biology jobs? States with the most job openings for Computational Biology jobs include:
What job categories do people searching Computational Biology jobs look for? The top searched job categories for Computational Biology jobs are:
Computational Biology jobs near you
Infographic showing various Computational Biology job openings in the United States as of June 2026, with employment types broken down into 66% Full Time, 28% Part Time, and 6% Contract. Highlights an 69% Physical, 1% Hybrid, and 30% 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 7 days ago

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.

Apply