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Mathematical Biologist Jobs (NOW HIRING)

State of Nevada (NV)

BIOLOGIST 4

Carson City, NV

$70.28K - $104.71K/yr

Analyze data by applying mathematical and statistical formulas to calculate population status ... biological and social constraints; bait and trap, tranquilize, radio collar or band wildlife and ...

AIS, LLC

Marine Biologist (ASM) - Boston, MA

Boston, MA · On-site

$35K - $55K/yr

Become a Marine Biologist!! A.I.S., Inc. (AIS) is a national scientific services firm supporting ... At least one undergraduate course in math or statistics preferred. * At-sea experience * Coursework ...

AIS, LLC

Marine Biologist (ASM) - Boston, MA

Boston, MA

$35K - $55K/yr

Become a Marine Biologist!! A.I.S., Inc. (AIS) is a national scientific services firm supporting ... At least one undergraduate course in math or statistics preferred. * At-sea experience * Coursework ...

AIS, Inc.

Marine Biologist (ASM) - Boston, MA

Boston, MA · On-site

$35K - $55K/yr

Become a Marine Biologist!! A.I.S., Inc. (AIS) is a national scientific services firm supporting ... At least one undergraduate course in math or statistics preferred. * At-sea experience * Coursework ...

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How much do mathematical biologist jobs pay per year?

As of May 28, 2026, the average yearly pay for mathematical 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 the key skills and qualifications needed to thrive as a Mathematical Biologist, and why are they important?

To thrive as a Mathematical Biologist, you need strong quantitative analysis skills, a solid background in mathematics and biology, and typically an advanced degree in applied mathematics, biology, or a related field. Familiarity with computational tools such as MATLAB, R, Python, and modeling software is often required, along with experience in data analysis and simulation techniques. Excellent problem-solving, interdisciplinary collaboration, and communication skills help you effectively work with both scientific and mathematical teams. These skills are crucial for developing accurate models, advancing research, and translating complex biological phenomena into actionable insights.

How do mathematical biologists typically collaborate with experimental scientists in their daily work?

Mathematical biologists often work closely with experimental scientists to bridge theoretical models and real-world biological data. In practice, they collaborate by discussing research questions, refining mathematical models based on experimental outcomes, and suggesting new experiments to validate predictions. Regular meetings and interdisciplinary teamwork are common, ensuring that models remain biologically relevant and that experiments can effectively test hypotheses. This collaborative environment helps foster innovative solutions to complex biological problems.

What is a mathematical biologist?

A mathematical biologist is a scientist who uses mathematical techniques and models to study and solve problems in biology. They apply mathematics to understand processes such as population dynamics, disease spread, genetics, and ecological systems. Their work often involves developing theoretical models, analyzing biological data, and collaborating with biologists and other researchers to interpret complex biological phenomena. Mathematical biologists contribute to fields like epidemiology, environmental science, and bioinformatics, helping to make predictions and inform policy decisions.

What is the difference between Mathematical Biologist vs Computational Biologist?

AspectMathematical BiologistComputational Biologist
Required CredentialsDegree in biology, mathematics, or related fields; often a master's or PhDDegree in biology, bioinformatics, or computer science; often a master's or PhD
Work EnvironmentResearch labs, academia, healthcare, biotech companiesResearch labs, biotech, pharmaceutical companies, academia
Industry UsageModeling biological systems, disease spread, ecologyAnalyzing biological data, genome sequencing, systems biology

Mathematical Biologists focus on developing mathematical models to understand biological processes, while Computational Biologists primarily analyze large biological datasets using computational tools. Both roles often require advanced degrees and work in similar environments, but their core tasks differ: modeling versus data analysis.

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What job categories do people searching Mathematical Biologist jobs look for? The top searched job categories for Mathematical Biologist jobs are:
Mathematical Biologist jobs near you

Computational Biology/Bioinformatician

Attaineo Search, Inc.

Baltimore, MD • On-site

Full-time

Posted yesterday

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:
  • Pioneering the development of innovative software tools, algorithms, and analysis pipelines to expedite the transition from concept to practical testing.
  • Leading the in-silico design and characterization of new molecular assays for infectious diseases, leveraging qPCR and related technologies.
  • Supervising the conversion of extensive biological customer data into actionable insights through data mining, advanced visualizations, and machine learning.
  • Assisting the R&D team in creating scripts for efficient calculations and project management.
  • Directing the company's overarching initiatives in the digitization of biology.

Requirements
  • Hold a Master's or Ph.D. degree with a minimum of 3 years of relevant work experience.
  • Possess extensive knowledge in computational biology or bioinformatics, mathematics, and computer programming.
  • Capability to work independently on complex and challenging projects.
  • Proficiency in and a passion for data visualization and effective communication of data science findings.
  • Demonstrable experience with data science toolkits, machine learning, statistical modeling, and tool development.
  • Solid understanding of developing ML and statistical models for real-world applications.
  • Strong programming skills in Python and/or R; familiarity with Rust is a plus.
  • Experience with Linux High Performance Computing (HPC) cluster is advantageous.

Apply