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Mathematical Biologist Jobs (NOW HIRING)

Invertebrate Biologist

Saratoga, CA ยท On-site

$70K - $83K/yr

About the Role We're seeking an Invertebrate Biologist to manage captive propagation for native ... Solid math skills, including rate/ratio/percent calculations and interpreting data and graphs

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Invertebrate Biologist

Saratoga, CA ยท On-site

$70K - $83K/yr

Under the direction of the Principal Biologist, you'll lead day-to-day husbandry and management of ... Solid math skills, including rate/ratio/percent calculations and interpreting data and graphs

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How much do mathematical biologist jobs pay per year?

As of Aug 10, 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.

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.

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 jobs can you do with mathematical biology?

Mathematical biologists can work in research institutions, healthcare, pharmaceuticals, and environmental agencies, applying mathematical models to biological systems. Common roles include computational biologist, bioinformatics analyst, systems biologist, and data scientist, often requiring skills in programming, statistics, and modeling tools. These positions involve analyzing biological data, developing simulations, and contributing to scientific advancements.

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.

More about Mathematical Biologist jobs
What job categories do people searching Mathematical Biologist jobs look for? The top searched job categories for Mathematical Biologist jobs are:
Infographic showing various Mathematical Biologist job openings in the United States as of August 2026, with employment types broken down into 42% Full Time, 50% Part Time, and 8% Contract. Highlights an 100% In-person job distribution, with an average salary of $93,988 per year, or $45.2 per hour.

Post doctoral researcher in Mathematics or Statistics

University of Maryland Baltimore County

Baltimore, MD โ€ข On-site

Full-time

Re-posted 27 days ago


Job description

Description
The Department of Mathematics and Statistics at the University of Maryland, Baltimore County (UMBC) has an opening for a postdoctoral scholar position, starting in fall 2025, preferably with an interest or focus on "Applied Mathematics or Statistics, in particular relating to data science applications".
The appointment is for a fixed term, but renewable upon satisfactory performance and funding availability. Candidates should have finished their Ph.D. in applied mathematics, statistics, biostatistics, machine learning or a related field before their appointment start date. Successful candidates are expected to carry out research, collaborate with faculty members, apply for external funding, and teach courses.
Qualifications
Candidates in all areas of applied mathematics and statistics may apply. Our interests include but are not limited to analysis and computation of partial differential equations and applications; stochastic processes and applications (e.g. mathematical biology, data science); mathematical biology with modeling and analysis of cellular dynamics (e.g. clustered cell migration, neuromechanical locomotion, network synchronization), parameter estimation (e.g. in epidemiological spread, chemical reaction networks), emergent behavior (e.g. flocking, swarming); optimization theory and numerical optimization with applications to data science; high-dimensional statistics; Bayesian statistics; resampling techniques; digital twins; uncertainty quantification; statistical process control; foundations of machine learning and artificial intelligence; statistical applications to biomedical problems and precision medicine.
Application Instructions
Applicants should apply using: http://apply.interfolio.com/158844
Applicants should submit (a) a cover letter; (b) a curriculum vitae that includes publications; (c) a description of research interests and research plans; (d) a brief teaching statement; (e) a statement of commitment to inclusive excellence; and (e) have at least three letters of recommendation submitted on their behalf.
Equal Employment Opportunity Statement
UMBC is an Equal Opportunity/Affirmative Action Employer.