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Mathematical Biology Jobs (NOW HIRING)

NCSU

Assistant Research Professor

Raleigh, NC

Develop and implement advanced mathematical, statistical, and machine learning models to analyze complex biological and scientific datasets. * Design interpretable dynamical systems frameworks using ...

Merck & Co.

$190K/yr

... expert mathematical modeler and scientist who can lead development of and supervise others in mechanistic modeling strategy for drug discovery, focusing on biologics, protein therapeutics, and ...

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What does a typical workday look like for a Mathematical Biology professional?

A typical workday for a Mathematical Biology professional often involves analyzing biological data, developing or refining mathematical models, and running simulations to predict biological processes. You may collaborate closely with biologists, data scientists, and other researchers to interpret findings and propose new research directions. Regular tasks can include coding, reviewing recent scientific literature, and communicating results through reports or presentations. Whether working in academia, healthcare, or industry, collaboration and adaptability are key, as projects and priorities can change based on new discoveries or research needs.

What is a Mathematical Biology job?

A Mathematical Biology job involves using mathematical models, data analysis, and computational techniques to study biological systems. Professionals in this field work on problems in ecology, epidemiology, genetics, neuroscience, and other life sciences, applying mathematical principles to understand complex biological phenomena. They may develop models to predict disease spread, analyze genetic data, or optimize biological processes. Careers in mathematical biology exist in academia, healthcare, pharmaceuticals, environmental science, and government research.

What are the key skills and qualifications needed to thrive in the Mathematical Biology position, and why are they important?

To thrive in Mathematical Biology, a strong background in mathematics, statistics, and biological sciences—often supported by an advanced degree in a related field—is essential. Familiarity with computational tools and programming languages such as MATLAB, R, or Python, as well as experience with modeling software, is typically required. Analytical thinking, creativity, and effective communication skills help professionals collaborate within multidisciplinary teams and explain complex concepts clearly. These skills and qualities are crucial for developing accurate models, interpreting biological data, and driving meaningful research outcomes.

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Mathematical Biology jobs near you
Infographic showing various Mathematical Biology job openings in the United States as of June 2026, with employment types broken down into 23% Full Time, 76% Part Time, and 1% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution.
Post doctoral researcher in Mathematics or Statistics

Post doctoral researcher in Mathematics or Statistics

University of Maryland Baltimore County

Baltimore, MD • On-site

Full-time

Posted 25 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.

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