1

Contract Scientific Computing Jobs (NOW HIRING)

$120 - $180/hr

Strong programming experience in Python, MATLAB, C++, or similar scientific computing languages and ... This job does not constitute a written or implied contract of employment; employment remains "at ...

Program Manager

Gaithersburg, MD · Hybrid

$176K - $239K/yr

No GDIT is seeking Program Manager to help support an upcoming contract for FDA Scientific Computing in College Park, MD (primary office) or Gaithersburg, MD. PLEASE NOTE : This position is ...

Program Manager

College Park, MD · Hybrid

$176K - $239K/yr

No GDIT is seeking Program Manager to help support an upcoming contract for FDA Scientific Computing in College Park, MD (primary office) or Gaithersburg, MD. PLEASE NOTE : This position is ...

This is a hands-on role at the intersection of scientific computing and software engineering. You ... Package scientific tools as reproducible, containerized functions with clear input/output contracts ...

HPC Technical Lead

Gaithersburg, MD · Hybrid

$211K - $286K/yr

No GDIT is seeking HPC Technical Lead to help support an upcoming contract for FDA Scientific Computing in College Park, MD (primary office) or Gaithersburg, MD. PLEASE NOTE : This position is ...

HPC Technical Lead

College Park, MD · Hybrid

$211K - $286K/yr

No GDIT is seeking HPC Technical Lead to help support an upcoming contract for FDA Scientific Computing in College Park, MD (primary office) or Gaithersburg, MD. PLEASE NOTE : This position is ...

Deputy Program Manager

College Park, MD · Hybrid

$121K - $163K/yr

No GDIT is seeking Deputy Program Manager to help support an upcoming contract for FDA Scientific Computing in College Park, MD (primary office) or Gaithersburg, MD. PLEASE NOTE : This position is ...

Deputy Program Manager

Gaithersburg, MD · Hybrid

$121K - $163K/yr

No GDIT is seeking Deputy Program Manager to help support an upcoming contract for FDA Scientific Computing in College Park, MD (primary office) or Gaithersburg, MD. PLEASE NOTE : This position is ...

next page

Showing results 1-20

Contract Scientific Computing information

See salary details

$13

$31

$52

How much do contract scientific computing jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for contract scientific computing in the United States is $31.48, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $40.14 per hour, depending on experience, location, and employer.

What is contract scientific computing?

Contract scientific computing refers to the practice of hiring external experts or companies to perform specialized computational tasks, such as data analysis, simulation, or algorithm development, for scientific research projects. These professionals are typically engaged on a contract or project basis rather than as full-time employees. Organizations use contract scientific computing to access specific expertise, scale up research efforts, or accelerate project timelines without committing to permanent hiring. This approach is common in fields like physics, biology, engineering, and data science. Contract scientists may work remotely or on-site, depending on project needs.

What are the key skills and qualifications needed to thrive as a contract scientific computing professional?

To thrive as a Contract Scientific Computing professional, you need a solid background in computational science, mathematics, and programming, typically supported by an advanced degree in a relevant STEM field. Expertise with programming languages (such as Python, R, or MATLAB), scientific software libraries, and experience with high-performance computing systems are commonly required. Strong problem-solving skills, attention to detail, and effective communication are vital soft skills in this role. These capabilities ensure accurate data analysis, efficient project delivery, and successful collaboration with multidisciplinary teams.

What are some common challenges faced by professionals in contract scientific computing roles, and how can they be addressed?

Contract scientific computing professionals often encounter challenges such as adapting quickly to new research environments, managing diverse project requirements, and ensuring clear communication with multidisciplinary teams. To address these, it’s helpful to spend time upfront understanding client expectations, maintain organized documentation, and establish regular check-ins with both scientific and IT stakeholders. Flexibility and continuous learning are key, as projects may involve rapidly changing technologies or scientific domains. Building a strong professional network can also help in finding solutions to technical or collaborative issues that arise.

What is the difference between Contract Scientific Computing vs Contract Data Analysis?

AspectContract Scientific ComputingContract Data Analysis
Required CredentialsDegree in Computer Science, Scientific Computing, or related field; programming skillsDegree in Statistics, Data Science, or related; analytical skills
Work EnvironmentResearch labs, biotech, pharma, academiaBusiness, finance, healthcare, tech companies
Employer & Industry UsageResearch institutions, scientific companiesCorporate, consulting, healthcare sectors
Search & Comparison IntentFocus on computational tasks, simulations, modelingFocus on data interpretation, reporting, insights

Contract Scientific Computing involves developing computational models and simulations in scientific research, often requiring programming and technical skills. Contract Data Analysis centers on interpreting datasets to generate insights for business decisions. While both roles require analytical skills, Contract Scientific Computing emphasizes computational methods, whereas Contract Data Analysis focuses on data interpretation and reporting.

More about Contract Scientific Computing jobs

What cities are hiring for Contract Scientific Computing jobs?

Cities with the most Contract Scientific Computing job openings:

What are the most commonly searched types of Scientific Computing jobs?

The most popular types of Scientific Computing jobs are:

What states have the most Contract Scientific Computing jobs?

States with the most job openings for Contract Scientific Computing jobs include:

Infographic showing various Contract Scientific Computing job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $65,473 per year, or $31.5 per hour.

Scientific Computing Research Engineer

QT Imaging, Inc.

On-site

$120 - $180/hr

Other

Posted 4 days ago


Job description

In Person/Virtual - TBD Full-time | Novato or Petaluma, CA

QT Imaging is a medical device company engaged in research, development, and commercialization of innovative body imaging systems using low frequency sound waves. QT Imaging strives to improve global health outcomes. Its strategy is predicated upon the fact that medical imaging is critical to the detection, diagnosis, and treatment of disease and that it should be safe, affordable, accessible, and centered on the patient’s experience. For more information on QT Imaging, please visit the company’s website at www.qtimaging.com

Job Description Overview

This position primarily supports QT Imaging’s scientific and clinical development programs through computational modeling, quantitative image analysis, and statistical evaluation of clinical data. Working directly with the Chief Science Officer, the successful candidate will develop simulation tools, analyze imaging datasets, evaluate algorithm performance, and support the design and execution of clinical studies.

The role bridges engineering, physics, computer science, and clinical research, providing quantitative analyses that support product development, regulatory submissions, scientific publications, and future AI development.

[Reports to: Chief Science Officer]

Key Responsibilities

  • Develop computational models and simulations of QT Imaging’s Breast Acoustic CT™ technology.
  • Design and execute quantitative analyses of clinical imaging datasets.
  • Process and analyze large multimodal imaging datasets, including QTscan, MRI, mammography, ultrasound, and pathology data.
  • Evaluate image quality, quantitative biomarkers, segmentation algorithms, and reconstruction performance.
    • Develop software tools for data processing, visualization, statistical analysis, and scientific reporting.
  • Support clinical study design, endpoint development, statistical analysis plans, and interpretation of study results.
  • Perform validation studies comparing QTscan with existing breast imaging modalities.
  • Work closely with Clinical Affairs, Engineering, Regulatory Affairs, and Software Development teams.
  • Prepare scientific reports, abstracts, conference presentations, regulatory documentation, and peer-reviewed publications.
  • Support development and validation of AI and machine learning algorithms using high-quality clinical datasets.
  • Provide quantitative correlation analyses of scanner test data to image reconstruction images.
  • Contribute to scientific publications, grant applications, and intellectual property development.
  • Assist in developing computational workflows that improve efficiency and reproducibility of scientific analyses.

Prior Experience

Qualifications & Requirements

  • S. or Ph.D. in Biomedical Engineering, Medical Physics, Electrical Engineering, Computer Science, Applied Mathematics, Biomedical Data Science, Physics, or a related field.
  • Strong programming experience in Python, MATLAB, C++, or similar scientific computing languages and use of Linux operating system.
  • Experience with image processing, signal processing, computer vision, or computational modeling.
  • Experience analyzing large clinical or imaging datasets.
  • Familiarity with medical imaging modalities such as MRI, CT, ultrasound, PET, or optical imaging.
  • Understanding of statistical analysis, experimental design, and clinical research methodology.
  • Experience working with DICOM imaging data.
  • Knowledge of machine learning and artificial intelligence methodologies is desirable.
  • Ability to work independently in a fast-paced, multidisciplinary environment.
  • Excellent written and verbal communication skills.
  • Experience with breast imaging is highly desirable.
  • Strong problem-solving and analytical skills to identify and resolve production issues
  • Experience with scientific visualization and data analysis libraries (NumPy, SciPy, Pandas, OpenCV, ITK, VTK, TensorFlow, or PyTorch).
  • Familiarity with Linux environments and high-performance computing
  • Experience supporting FDA-regulated medical device development is preferred.
  • Experience contributing to scientific publications and conference presentations.
  • Knowledge of ISO 13485 and Design Control processes is beneficial.
  • Strong analytical, organizational, and problem-solving skills.
  • Comfortable working collaboratively with physicians, scientists, software engineers, and regulatory teams.

Salary Range

Job Type

Location

This job description is a summary of the typical functions of the position, not necessarily an exhaustive or comprehensive list of all possible position responsibilities, tasks, and duties. The company reserves the right to assign or reassign duties and responsibilities to this job at any time. This job does not constitute a written or implied contract of employment; employment remains “at-will”.

Interested in learning more about our Quantitative Transmission Imaging Technology or about the QTI Breast Acoustic CT™ Scanner?QT Imaging Holdings, Inc.

Three Hamilton Landing, Suite 160

Novato, CA 94949

+1 (415) 842-7250

#J-18808-Ljbffr