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Mathematical Modeling Postdoc Jobs in Cambridge, MA

Tufts University

Postdoctoral Scholar

Medford, MA · On-site

$67K/yr

The successful candidate will develop and analyze ML models for scientific problems and will have ... mathematics, computer science, or a closely related field; a strong record of research; and ...

micro1 AI

Physics Modeling Expert - Remote

Boston, MA · Remote

$80 - $140/hr

Role Title: Physics Expert (PhD / Postdoc) Role Type: Contractor. Location: Remote micro1 is ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

micro1 AI

Physics Modeling Expert - Remote

Cambridge, MA · Remote

$80 - $140/hr

Role Title: Physics Expert (PhD / Postdoc) Role Type: Contractor. Location: Remote micro1 is ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

micro1 AI

Physics Modeling Expert - Remote

Lynn, MA · Remote

$80 - $140/hr

Role Title: Physics Expert (PhD / Postdoc) Role Type: Contractor. Location: Remote micro1 is ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

micro1 AI

Physics Modeling Expert - Remote

Brockton, MA · Remote

$80 - $140/hr

Role Title: Physics Expert (PhD / Postdoc) Role Type: Contractor. Location: Remote micro1 is ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

micro1 AI

Physics Modeling Expert - Remote

Lowell, MA · Remote

$80 - $140/hr

Role Title: Physics Expert (PhD / Postdoc) Role Type: Contractor. Location: Remote micro1 is ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

micro1 AI

Physics Modeling Expert - Remote

Quincy, MA · Remote

$80 - $140/hr

Role Title: Physics Expert (PhD / Postdoc) Role Type: Contractor. Location: Remote micro1 is ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

NorthEastern

Postdoctoral Research Associate, Biology

Boston, MA · On-site

$60K - $85K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and mathematical theoretical models with direct applications to several open problems in cell ... The postdoctoral research associate will perform basic or applied research of a limited scope ...

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Mathematical Modeling Postdoc information

What is the difference between Mathematical Modeling Postdoc vs Data Scientist?

AspectMathematical Modeling PostdocData Scientist
Required CredentialsPhD in Mathematics, Applied Mathematics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; PhD preferred
Work EnvironmentAcademic research institutions, universities, research labsCorporate, tech companies, startups, or consulting firms
Industry UsageResearch projects, academic publications, grant-funded studiesBusiness analytics, product development, data-driven decision making
Common Search & ComparisonYesYes

While both roles involve analytical skills and data handling, Mathematical Modeling Postdocs focus on academic research and developing theoretical models, whereas Data Scientists apply data analysis techniques to solve practical business problems. The choice depends on whether you prefer research-oriented work or industry applications.

What does a mathematical modeling postdoc do?

A Mathematical Modeling Postdoc conducts advanced research using mathematical techniques to analyze and solve complex real-world problems in fields such as biology, engineering, physics, or social sciences. They typically develop and apply mathematical models, run simulations, analyze data, and interpret results to support scientific or industrial projects. Postdocs in this role often collaborate with interdisciplinary teams, publish research findings, and may also assist in mentoring students or contributing to grant proposals.

What are some common challenges faced by mathematical modeling postdocs when transitioning from academic research to collaborative industry projects?

Mathematical Modeling Postdocs often encounter challenges when moving from academic research to industry settings, particularly in adapting to faster-paced timelines and working within interdisciplinary teams. In industry, projects may require quick prototyping and the ability to communicate complex mathematical concepts to non-experts, such as engineers or business stakeholders. Building effective collaborations and aligning research goals with organizational objectives can also be a significant adjustment. However, these challenges provide valuable experience and broaden career prospects in both academia and industry.

What are the key skills and qualifications needed to thrive as a mathematical modeling postdoc?

A Mathematical Modeling Postdoc requires an advanced degree (typically a PhD) in mathematics, applied mathematics, or a related quantitative field, along with strong analytical and problem-solving abilities. Expertise with programming languages such as Python, MATLAB, or R, and experience with simulation software or computational tools, are commonly expected. Strong communication, collaboration, and critical thinking skills help in presenting findings and working effectively within research teams. These competencies are vital for developing robust models, interpreting complex data, and contributing to innovative research outcomes.

What are popular job titles related to Mathematical Modeling Postdoc jobs in Cambridge, MA?

For Mathematical Modeling Postdoc jobs in Cambridge, MA, the most frequently searched job titles are:

What job categories do people searching Mathematical Modeling Postdoc jobs in Cambridge, MA look for?

The top searched job categories for Mathematical Modeling Postdoc jobs in Cambridge, MA are:

What cities near Cambridge, MA are hiring for Mathematical Modeling Postdoc jobs?

Cities near Cambridge, MA with the most Mathematical Modeling Postdoc job openings:

Mathematical Modeling Postdoc jobs near you
Infographic showing various Mathematical Modeling Postdoc job openings in Cambridge, MA as of August 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 95% In-person, 2% Hybrid, and 3% Remote job distribution.

Onnela Lab Postdoctoral Research Fellow Position in Digital Phenotyping / Smartphone Data Research

Harvard University

Cambridge, MA • On-site

$75K/yr

Full-time

Posted 7 days ago

Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

80th of 618 rated colleges and universities

Job description

Position
Details
Title
Onnela Lab Postdoctoral Research Fellow Position in Digital Phenotyping / Smartphone Data Research
School
Harvard T.H. Chan School of Public Health
Department/Area
Biostatistics
Position Description
The Onnela Lab in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health is seeking candidates with a Ph.D. in biostatistics, applied mathematics, computer science, or a related quantitative field for a two-year Postdoctoral Research Fellow position. This position involves developing statistical methods, data analytic tools, and mathematical models for analyzing smartphone data-collected with our high-throughput digital phenotyping platform-in biomedical research cohorts with the goal of establishing more precise and dynamic disease phenotypes.
Basic Qualifications
Doctoral degree in statistics, biostatistics, computer science, applied mathematics, or a related quantitative field. Excellent programming skills, as well as strong oral communication and writing skills are required.
Required: U.S. Citizenship or Permanent Residency
This position is funded by an NIH T32 grant. Candidates must meet appointment eligibility criteria as outlined https://researchtraining.nih.gov/programs/training-grants/T32
Additional Qualifications
Special Instructions
Contact Information
Hassan Dawood
Contact Email
hdawood@hsph.harvard.edu
Salary Range
$75,000
Minimum Number of References Required
2
Maximum Number of References Allowed
4
Keywords
biostatistics; digital phenotyping; smartphone data research; data science

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