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Scientific Computing Jobs in Baltimore, MD (NOW HIRING)

Python Tutor

Bowie, MD ยท Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Laurel, MD ยท Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

College Park, MD ยท Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Baltimore, MD ยท Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Perform hands-on repair of equipment and maintenance/installation of computing infrastructure ... Scientific software troubleshooting. * VPN. * PIV card troubleshooting. * Workstation set up.

Scientific Systems Engineer

College Park, MD ยท On-site

$40K - $80K/yr

Perform hands-on repair of equipment and maintenance/installation of computing infrastructure ... Scientific software troubleshooting. * VPN. * PIV card troubleshooting. * Workstation set up.

Showing results 21-40

Scientific Computing information

See Baltimore, MD salary details

$13

$31

$52

How much do scientific computing jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for scientific computing in Baltimore, MD is $31.28, according to ZipRecruiter salary data. Most workers in this role earn between $19.09 and $39.90 per hour, depending on experience, location, and employer.

What does someone working in scientific computing do?

Professionals in Scientific Computing typically spend their days developing and optimizing computational models, writing code to analyze large datasets, and running simulations on high-performance computing systems. They often collaborate closely with scientists, researchers, or engineers to interpret results and improve methodologies. Depending on the industry, they may also be responsible for documenting workflows, troubleshooting complex issues, and staying current with technological advances in their field. Daily work often involves problem-solving, technical meetings, and the continuous improvement of algorithms and computational processes.

What are the key skills and qualifications needed to thrive in scientific computing?

To thrive in Scientific Computing, you need a strong background in mathematics, computer science, and scientific principles, often supported by a relevant degree such as physics, engineering, or computational science. Proficiency with programming languages like Python, C++, or MATLAB, experience with high-performance computing (HPC) systems, and familiarity with scientific software and libraries are typically essential. Excellent problem-solving abilities, teamwork, and clear communication skills are important soft skills for this role. These skills enable professionals to develop efficient computational solutions, collaborate effectively across multidisciplinary teams, and drive progress in research and innovation.

What is scientific computing?

A Scientific Computing job involves using advanced computational methods, algorithms, and mathematical modeling to solve complex scientific and engineering problems. Professionals in this field develop and optimize software, perform simulations, and analyze large datasets to support research in disciplines like physics, biology, and engineering. They often work with high-performance computing (HPC) systems and programming languages such as Python, C++, or Fortran. These roles are commonly found in academia, government research labs, and industries like aerospace, pharmaceuticals, and finance.

What are the most commonly searched types of Scientific Computing jobs in Baltimore, MD? The most popular types of Scientific Computing jobs in Baltimore, MD are:
What are popular job titles related to Scientific Computing jobs in Baltimore, MD? For Scientific Computing jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Scientific Computing jobs in Baltimore, MD look for? The top searched job categories for Scientific Computing jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Scientific Computing jobs? Cities near Baltimore, MD with the most Scientific Computing job openings:
Infographic showing various Scientific Computing job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 14% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $65,056 per year, or $31.3 per hour.

AI Researcher

Precision Solutions

Fort George G Meade, MD โ€ข On-site

Full-time

Re-posted 6 days ago


Job description

AI Researcher

Onsite | Ft. Meade, MD

Active TS/SCI w/FS Poly (NSA) Clearance Required

Summary

Since 2012, our client has helped mission-critical government organizations and businesses face their most daunting technology challenges. Their team have been trusted partners to many government agencies and are extremely familiar with a wide variety of systems, policies, and procedures. Our client is also a distinguished custom software development firm dedicated to delivering premium solutions tailored for businesses and governmental needs. They are home to top-tier technology professionals recognized as industry pioneers, comprehensive full-stack engineers, and reliable consultants. These experts are adept at clear communication, excel in resolving complex challenges where others may falter, and are skilled in actualizing an organization's vision.

The AI Researchers provide the technical and analytical foundation for the work. They conduct applied research, define and refine research questions, and perform literature reviews to survey and assess existing methods and emerging approaches. They own experimental design end to end, running experiments, evaluating candidate approaches, and producing publication-quality analysis of the results. They document findings in a form usable by both technical and non-technical stakeholders, contributing to technical reports, evaluation plans, and model and agent assessments. A core part of their role is translating research outcomes into concrete implementation guidance, turning findings and recommendations into direction that the Developers and the broader team can act on. Working closely with the Data Scientists, they shape benchmark design, scoring rationale, and the interpretation of evaluation results so that measured outcomes connect back to the original research objectives.

Upcoming Tasking:

  • Develop evaluation methodologies and experimental designs for assessing model and agent performance, including capability, reliability, and limitation analyses.
  • Conduct reviews of current state-of-the-art AI/ML evaluation methods and emerging techniques to inform approach selection.
  • Define and document evaluation criteria, success metrics, and assessment rationale in partnership with the Data Scientists.
  • Assess candidate models and agentic systems and produce written technical findings and recommendations.
  • Author technical reports, evaluation plans, and decision-support documentation for stakeholders.
    Technologies / Skills Needed
  • Python
  • Jupyter notebooks
  • Scientific computing libraries
  • Machine learning / AI evaluation methods
  • Experiment design
  • Literature review tools
  • Statistical analysis
  • Technical writing
  • Version control, such as Git
  • Collaboration tools such as Jira or Confluence
  • Operate effectively in an airgapped/constrained environment

Requirements

  • Experience with Applied AI/ML Research, Experimental Design, State-of-the-Art (SOTA) Literature Reviews, Statistical Analysis
  • Familiar with conducting Model & Agentic System Capability Assessments, Evaluation Plan Development, Risk & Limitation Analysis
  • Experience with Python, Jupyter Notebooks, Scientific Computing Libraries (e.g., NumPy, Pandas, SciPy), Git Version Control
  • Comfortable with Technical Writing, Decision-Support Documentation, Executive Reporting, Jira, Confluence

Education/Certification Requirements

  • BS in Computer Science or similar technical field (4 years of relevant experience may be substituted in lieu of a BS degree)

Clearance Requirements

  • Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; an active TS/SCI w/FS Poly clearance is required. Please note that the FS Poly currently needs to be held by the NSA or within the past two years.
Other Duties
Please note 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.
 
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About Us
Northern Virginia-based Precision Solutions is an expert in staffing solutions for companies of any size that open the door to new opportunities and seek outstanding talent. We pride ourselves on being versatile enough to tailor our relationships to the needs of each individual client, being agile in the fast-paced marketplace, and being precise in meeting the needs of any company.
 
Equal Opportunity Employer Statement
Precision Solutions is an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.