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Remote Research Mathematician Jobs (NOW HIRING)

Research Scientist

Baltimore, MD · On-site +1

$120K - $150K/yr

PhD in atmospheric science, geophysics, applied mathematics, computer science, or a closely related ... Experience with remote sensing datasets, specifically satellite radar, altimetry, and optical ...

Research Scientist

Baltimore, MD · Remote

$120K - $150K/yr

PhD in atmospheric science, geophysics, applied mathematics, computer science, or a closely related ... Experience with remote sensing datasets, specifically satellite radar, altimetry, and optical ...

$19 - $26/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... AND POSITION REQUIREMENTS The Mathematics Department in the Eberly College of Science has a vacancy ...

Master's degree in biostatistics, statistics, epidemiology, economics, mathematics, engineering ... Relevant work experience as a teaching or research assistant while pursuing an advanced degree or ...

Master's degree in biostatistics, statistics, epidemiology, economics, mathematics, engineering ... Relevant work experience as a teaching or research assistant while pursuing an advanced degree or ...

Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... Mathematics , Statistics , Computer Science , Electrical Engineering , Mechanical Engineering ...

Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... Mathematics , Statistics , Computer Science , Electrical Engineering , Mechanical Engineering ...

Remote but need to be on-site for meetings and work sessions at FDA office Dauphin Island, AL ... Utilizes established mathematical and scientific techniques to compile and analyze data. Writes ...

Remote Role Responsibilities * Design challenging, real-world physics problems in areas like ... Deep expertise in physics subfields with strong mathematical and analytical skills. * Ability to ...

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Remote Research Mathematician information

What are the key skills and qualifications needed to thrive as a Remote Research Mathematician, and why are they important?

To thrive as a Remote Research Mathematician, you need advanced mathematical knowledge, strong analytical abilities, and typically a master's or Ph.D. in mathematics or a related field. Familiarity with computational tools such as MATLAB, Mathematica, or Python, and experience with collaboration platforms like Git or Overleaf, are commonly required. Exceptional problem-solving skills, self-motivation, and clear written communication are vital for excelling in independent and collaborative research. These skills and qualities are crucial to effectively conduct complex mathematical investigations, share findings, and contribute to remote teams.

How does a remote research mathematician typically collaborate with colleagues and contribute to team projects?

As a remote research mathematician, collaboration often occurs through virtual meetings, shared digital workspaces, and version-controlled repositories for code or mathematical proofs. You’ll regularly present findings, discuss approaches, and co-author papers or reports with team members who may be located worldwide. While independent research is a significant part of the role, strong communication skills and proactive engagement are essential for successful teamwork and advancing group objectives.

What are Remote Research Mathematicians?

Remote Research Mathematicians are professionals who conduct mathematical research and analysis while working from a location outside of a traditional office or academic setting, often from home. They investigate complex mathematical problems, develop new theories, and apply mathematical techniques to solve real-world challenges in fields like data science, engineering, finance, and technology. Their work can include publishing papers, collaborating with other researchers online, and using advanced software tools to run simulations or analyze data. Remote positions allow mathematicians to contribute to academic, private sector, or government projects globally without relocating.

What is the difference between Remote Research Mathematician vs Data Scientist?

AspectRemote Research MathematicianData Scientist
CredentialsAdvanced degree in mathematics or related fieldDegree in computer science, statistics, or related field
Work EnvironmentResearch-focused, often in academia or R&D departmentsIndustry settings, often in tech, finance, or healthcare
Employer & Industry UsageResearch institutions, government agencies, R&D divisionsCorporations, startups, consulting firms
Search & Comparison IntentFocus on mathematical research and theoretical workEmphasis on data analysis, modeling, and business insights

Remote Research Mathematicians primarily focus on theoretical and mathematical research, often within academic or R&D environments, requiring advanced math credentials. Data Scientists, while also skilled in analytics, tend to work more on practical data analysis and modeling in industry settings. Both roles may work remotely, but their core responsibilities and employer types differ significantly.

More about Remote Research Mathematician jobs
What cities are hiring for Remote Research Mathematician jobs? Cities with the most Remote Research Mathematician job openings:
What are the most commonly searched types of Research Mathematician jobs? The most popular types of Research Mathematician jobs are:
What states have the most Remote Research Mathematician jobs? States with the most job openings for Remote Research Mathematician jobs include:
Infographic showing various Remote Research Mathematician job openings in the United States as of May 2026, with employment types broken down into 2% Locum Tenens, 1% As Needed, 72% Part Time, 2% Temporary, 22% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
Research Scientist

Research Scientist

Digital Harbor Foundation

Baltimore, MD • On-site, Remote

$120K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Job description

Overview
Current projections of sea level rise aren't precise enough and potential solutions to mitigate the contributions of land based glaciers to sea level rise are underexplored. We aim to fund and accelerate existing research by increasing investments in Antarctic science as well as by internally developing accurate forecasts of sea level rise and the expected behavior of Antarctic glaciers. To achieve this we leverage state of the art computational methods combining physics and AI on remote sensing and field data. This role specifically is for the internal development of data driven physics and machine learning methods.
Climate change is destabilizing marine ice sheets, creating a risk of catastrophic sea-level rise over the next century. Arête Glacier Initiative is a new nonprofit initiative dedicated to understanding this risk and assessing the efficacy, safety, and feasibility of potential interventions to stabilize ice sheets. We aim to fund, coordinate, and accelerate research to enable informed and legitimate societal decisions regarding these interventions.
Minimum Qualifications
  • PhD in atmospheric science, geophysics, applied mathematics, computer science, or a closely related field
  • 3+ years of postdoctoral or equivalent research experience applying machine learning or deep learning to weather forecasting or Earth system modeling (e.g., forecasting, downscaling, emulation)
  • Proficiency in Python and relevant ML frameworks (PyTorch or JAX) with experience in high-performance or cloud computing environments and large-scale parallel processing
  • Experience handling noisy data, uncertainty propagation, and error estimation in a geoscientific context
  • Experience with remote sensing datasets, specifically satellite radar, altimetry, and optical imagery
  • Demonstrated ability to work effectively in cross-functional, multi-disciplinary teams

Preferred Qualifications
  • Experience in running ice dynamics models such as ISSM, PISM or MALI
  • Experience with physics-informed neural networks, neural operators, Graph Neural Networks, or AI-accelerated FEM modeling
  • Familiarity with uncertainty quantification methods (e.g., ensembles, Bayesian inference) and sensitivity analysis techniques (e.g., adjoint methods) in a geoscientific context
  • Experience with large gridded dataset tooling (Zarr, xarray, Dask)

Knowledge, Skills, and Abilities
  • Develop, optimize, and maintain scalable processing workflows and pipelines for Finite Element Modeling
  • Design and implement physics-informed machine learning models to improve predictive accuracy
  • Quickly learn and apply new tools, datasets, and methods to address evolving project needs
  • Apply advanced statistical methods to quantify uncertainty and validate model outputs
  • Communicate complex technical concepts clearly in both written and spoken English, with the ability to communicate effectively with diverse audiences
  • Demonstrated ability to work independently and collaboratively in a remote, fast-paced environment

Additional Notes
This position is fully remote with occasional in-person meetings as needed to fulfill the responsibilities of the position.
Role and Responsibilities
  • Collaborate with data scientists, engineers and scientists to develop methods to forecast glacier ice flow and its impact on sea level rise.
  • Integrate domain knowledge into model design and interpret model outputs for physically realistic conditions
  • Develop, adapt, and evaluate probabilistic ML and hybrid physics-ML models for cryospheric processes including ice sheet flow, surface mass balance, and ocean-ice interactions
  • Develop and run large scale numerical simulations of ice dynamics.
  • Process and curate large-scale observational and synthetic datasets (e.g., satellite data, radar sounding and ice sheet model outputs) for use in model training and validation.
  • Identify sensitivities of model outputs to model imperfections of low quality source data or data gaps
  • Participate in regular team research reviews, contributing to and receiving feedback on methods and results

Other Duties
Please note that this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
Arête Glacier Initiative is a newly launched nonprofit initiative, and as such, we are in the early stages of building our programs and team. This role requires a high degree of flexibility, adaptability, and a willingness to take on diverse tasks as we develop and grow.
We encourage anyone who is interested in this role to apply, regardless of whether you feel you meet 100% of the qualifications. The top candidates will bring their own unique perspectives, experiences, and backgrounds from a variety of industries along with many but not necessarily all of the skills listed above.
Compensation
Compensation for this full-time position is $120,000 - $150,000 annually, commensurate with experience.
Arête Glacier Initiative provides a best-in-class comprehensive set of benefits to support the team. All regular, full-time employees are eligible to receive:
Health Benefits & Insurance
  • Carefirst Blue Cross Blue Shield - Health, Dental, and Vision Insurance (100% of the premium paid for employees and 85% of dependents)
  • Pre-Tax Health Savings Account (HSA) (with $275 monthly employer contributions)
  • Pre-Tax Flexible Savings Account (FSA)
  • Paid Accidental Death & Dismemberment (AD&D) Insurance
  • Paid Short-Term & Long-Term Disability Insurance
  • Paid Basic Life Insurance
  • Supplemental Voluntary Life Insurance (Employee, Spouse & Dependent Children)
  • Total Pet Plan and Supplemental Wishbone Pet Insurance
  • Employee Opportunity Program (EAP) - Health and Wellness
  • Wellness Reimbursement Program

Retirement
  • 401k Retirement Plan (with 6% matching)

Paid Time Off
  • 15 Days Paid Time Off Per Year
  • 16 Paid Holidays (14 common plus 2 flexible holidays, including Dec 25 - Jan 1)
  • Paid Bereavement Leave
  • Paid Parental Leave for Moms and Dads (two weeks after first year)

If our mission and vision align with your personal values, please apply!
A cover letter outlining your qualifications for the position along with your resume is required. Interviews will be conducted virtually.
Arête Glacier Initiative is fiscally sponsored by Digital Harbor Foundation. Digital Harbor Foundation is dedicated to fostering learning, creativity, productivity, and community through education with a vision of digital equity for everyone. Driven by our sincere belief that access to opportunity is a basic right, we take bold yet practical actions to support making a better future now. Through a portfolio of projects focused on developing leadership within communities, we support those closest to challenges to take deliberate actions based in design thinking approach, backed by data analysis, grounded in a practice of collective impact, and driven by a commitment to racial equity.
Digital Harbor and Arête Glacier Initiative are an equal opportunity employer.