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Physics Informed Machine Learning Jobs in Mebane, NC

Analyze large-scale neural and behavioral datasets using machine learning and statistical ... Physics, Mathematics, or a related discipline. * A minimum of ONE (1) year bioinformatics ...

The ideal candidate will develop novel machine learning and artificial intelligence (ML/AI) methods ... Engineering, Data science, Physics, Mathematics, Bioinformatics etc; Candidates with ...

... data-informed decision-making. Key Responsibilities • Analyze and interpret large datasets to ... Apply machine learning techniques such as classification, regression, clustering, and anomaly ...

REQUIREMENTS A Bachelor's Degree or higher in Electrical Engineering, Computer Engineering, Computer Science, or Physics is required. Relevant technical experience in data science, machine learning ...

REQUIREMENTS A Bachelor's Degree or higher in Electrical Engineering, Computer Engineering, Computer Science, or Physics is required. Relevant technical experience in data science, machine learning ...

REQUIREMENTS A Bachelor's Degree or higher in Electrical Engineering, Computer Engineering, Computer Science, or Physics is required. Relevant technical experience in data science, machine learning ...

D in Electrical Engineering, Computer Engineering, Applied Physics, Applied Mathematics, or a ... RF signal processing, electronic warfare, optimization, array processing, machine learning ...

The ideal candidate will develop novel machine learning and artificial intelligence (ML/AI) methods ... Engineering, Data science, Physics, Mathematics, Bioinformatics etc; Candidates with ...

... enabling informed decision-making and driving business growth within our Data and Analytics ... Responsibilities - Leading the design and development of AI and Machine Learning solutions for ...

... enabling informed decision-making and driving business growth within our Data and Analytics ... Responsibilities - Leading the design and development of AI and Machine Learning solutions for ...

... services and informed decisions for our community. Working as part of the AI & Data Team, the ... AI & Machine Learning • Assist in building and monitoring AI models using SAS Viya and other ...

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

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Physics Informed Machine Learning information

See Mebane, NC salary details

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How much do physics informed machine learning jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for physics informed machine learning in Mebane, NC is $17.34, according to ZipRecruiter salary data. Most workers in this role earn between $10.82 and $22.02 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Physics Informed Machine Learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are the typical challenges faced by professionals working in Physics Informed Machine Learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What is a Physics Informed Machine Learning job?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What cities near Mebane, NC are hiring for Physics Informed Machine Learning jobs? Cities near Mebane, NC with the most Physics Informed Machine Learning job openings:

Bioinformatics Scientist

Guidehouse

Durham, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 9 days ago


Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

37th of 57 rated business consultants


Job description

Job Family:
Scientist
Travel Required:
None
Clearance Required:
Ability to Obtain Public Trust
What You Will Do:
We are looking for a Bioinformatics Scientist to provide computational and analytical support services to advance research objectives, including study design, data processing, advanced modeling, and interpretation of neurobehavioral data. This position is a full-time position located in Research Triangle Park, NC.
  • Conduct analyses of in vivo neurobehavioral data; independently design the analytical approaches as well as identify and solve scientific or technical problems.
  • Collaborate with the Neurobehavioral Core Laboratory and support scientists to recommend computational approaches for testing hypotheses, analyze and interpret in vivo neurobehavioral data; prepare and present the results based on scientific objectives.
  • Support to the Neurobehavioral Core Laboratory to develop custom pipelines for raw data acquisition, management, pre-processing, post-processing and interpretation.
  • Analyze large-scale neural and behavioral datasets using machine learning and statistical approaches.
  • Implement algorithms for data processing and visualization, optimizing them for performance.
  • Develop scalable analysis pipelines, reproducible workflows, and computational strategies to enhance research capabilities and scientific impact.
  • Serve as a bioinformatics expert and coordinate with multidisciplinary teams including biologists, statisticians, and researchers.

What You Will Need:
  • Master's degree in Bioinformatics, Computational Biology, Neuroscience, Biostatistics, Computer Science, Physics, Mathematics, or a related discipline.
  • A minimum of ONE (1) year bioinformatics, computational biology, or related scientific research.
  • Proficiency in programming and analytical tools such as SQL, R, Python, MATLAB, Java, and Shell scripting.
  • Experience working with large datasets and cloud-based computing environments.
  • Strong skills in machine learning, multi-omics analysis, pipeline development, and neurobehavioral data analysis.
  • Experience with Linux/Unix systems, HPC environments, and scientific software tools.
  • Ability to design computational approaches, solve complex analytical problems, and interpret scientific data.
  • Ability to collaborate effectively with multidisciplinary teams and contribute to research initiatives.
  • Must be able to obtain and maintain a Federal or DoD "public trust"; candidates must receive approved adjudication prior to onboarding with Guidehouse. Candidates with an active public trust or suitability are preferred.

What Would Be Nice To Have:
  • Ph.D. in Biological Sciences, Neuroscience, Bioinformatics, Computational Biology, or a related discipline.
  • Machine Learning certification.
  • Experience with neurobehavioral imaging data analysis and image processing tools (e.g., ImageJ).
  • Experience developing novel statistical or computational methodologies for research applications.
  • Prior experience supporting federal research environments or scientific laboratories.
  • Experience training users and delivering workshops on bioinformatics tools and computational analysis.

What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Parental Leave
  • 401(k) Retirement Plan
  • Group Term Life and Travel Assistance
  • Voluntary Life and AD&D Insurance
  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
  • Transit and Parking Commuter Benefits
  • Short-Term & Long-Term Disability
  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Care.com annual membership
  • Employee Assistance Program
  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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