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Computational Biologist Jobs (NOW HIRING)

Foundation Medicine

Computational Biologist I

Boston, MA · Hybrid

$112K - $133K/yr

About the Job The Computational Biologist I contributes to the early innovation of novel bioinformatics methods and genomic signatures in oncology. Leveraging Foundation Medicine's FoundationCORE ...

Dana-Farber Cancer Institute

A computationally-oriented team led by Rameen Beroukhim and Simona Dalin at the Dana-Farber Cancer Institute and Broad Institute seeks an associate computational biologist to join in efforts to ...

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How much do computational biologist jobs pay per year?

As of Jul 3, 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.

Will computational biologists be replaced by AI?

Computational biologists use algorithms, data analysis, and modeling to interpret biological data, and AI tools can assist but are unlikely to fully replace their expertise. Human judgment, domain knowledge, and the ability to design experiments remain essential in the field. AI can enhance productivity but does not eliminate the need for skilled professionals in computational biology.

What jobs can I get with computational biology?

Computational biologists can work in roles such as bioinformatics analyst, research scientist, data scientist, or systems biologist, often in healthcare, pharmaceuticals, or research institutions. These positions typically require skills in programming, data analysis, and biological sciences, and may involve using tools like R, Python, or specialized software for genomic or proteomic data analysis.

How much do computational biologists get paid?

Computational biologists typically earn a median annual salary of around $80,000 to $110,000, depending on experience, education, and location. Entry-level positions may start lower, while experienced professionals or those in senior roles can earn over $130,000. Skills in programming, data analysis, and biological research are highly valued in this field.

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 computational and statistical methods to analyze biological data, such as genetic sequences and molecular structures. They often work with tools like bioinformatics software and require skills in programming, data analysis, and biology to interpret complex biological information. This role is common in research institutions, biotech companies, and healthcare settings.

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

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