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Virtual Scientific Computing Jobs in Chicago, IL

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

We are the leading virtual staining company revolutionizing digital pathology adoption worldwide ... scientific computing environments a plus Strong mathematical foundation in linear algebra ...

Fermilab

Research Associate

Batavia, IL · On-site

$69K - $92K/yr

Scientific computing: Experience with Python, C++, Julia, UNIX/Linux, bash, git, data analysis, or ... virtual interview. Equal Opportunity Statement Fermilab is an equal opportunity employer. We ...

Elevance Health

Research Scientist Senior

Chicago, IL · On-site +1

$101K - $129K/yr

Please note that per our policy on hybrid/virtual work, candidates not within a reasonable ... Leads the assessment of scientific research that contributes to the transformation of health ...

New

Apex Systems

Engineer Embedded Software 3

Rolling Meadows, IL · On-site

$132K - $174K/yr

... and computing systems for engineering, scientific, and manufacturing applications. The role ... Everforth Apex uses a virtual recruiter as part of the application process. Click for more details.

New

Codehs

Professional Development Specialist

Chicago, IL · On-site

$70K - $85K/yr

Run in-person and virtual professional developments for teachers to train on CodeHS * Run PD ... world of computing. We believe that expanding access to computer science education will empower ...

Novolex

Endpoint Architect

Lake Forest, IL

$240K/yr

... user computing (EUC) environments across physical and virtual endpoints. Primary focus areas ... Bachelor's degree in Computer Science or equivalent experience. * 10+ years supporting Windows ...

Novolex

Endpoint Architect

Lake Forest, IL

... user computing (EUC) environments across physical and virtual endpoints. Primary focus areas ... Bachelor's degree in Computer Science or equivalent experience. * 10+ years supporting Windows ...

Varsity Tutors

C++ Tutor

Lake Forest, IL · Remote

$18 - $40/hr

Ability to explain dynamic memory allocation, virtual functions, operator overloading, and smart ... science coursework. * Conceptual Teaching & Problem-Solving: Skilled at breaking down pointer ...

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Virtual Scientific Computing information

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How much do virtual scientific computing jobs pay per week?

As of Aug 15, 2026, the average weekly pay for virtual scientific computing in Chicago, IL is $1,431.15, according to ZipRecruiter salary data. Most workers in this role earn between $1,198.08 and $1,515.38 per week, depending on experience, location, and employer.

What is virtual scientific computing?

Virtual scientific computing refers to the use of cloud-based or remote computational resources to perform scientific research and analysis. Instead of relying solely on local hardware, scientists access high-performance computing environments, data storage, and specialized software through the internet. This approach enables greater flexibility, scalability, and collaboration, allowing researchers to run complex simulations, analyze large datasets, and share results with colleagues worldwide. Virtual scientific computing is widely used in fields such as physics, chemistry, biology, and engineering.

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

Professionals in Virtual Scientific Computing often encounter challenges such as managing large-scale simulations, ensuring computational accuracy, and optimizing performance across diverse hardware architectures. Collaborating effectively with multidisciplinary teams—such as scientists, engineers, and IT specialists—can also be complex due to varying technical backgrounds. Addressing these challenges usually involves continuous learning, leveraging robust collaboration tools, and staying updated on the latest computational methods and best practices to ensure efficient and accurate results.

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

To thrive in Virtual Scientific Computing, you need a solid background in mathematics, programming (often Python, C++, or MATLAB), and computational science, typically supported by a relevant degree. Familiarity with high-performance computing (HPC) environments, cloud computing platforms, and simulation software is commonly required. Strong analytical thinking, problem-solving ability, and effective collaboration are vital soft skills for excelling in multidisciplinary teams. These competencies are crucial for efficiently solving complex scientific problems and advancing research using computational methods.

What are the most commonly searched types of Scientific Computing jobs in Chicago, IL?

The most popular types of Scientific Computing jobs in Chicago, IL are:

What are popular job titles related to Virtual Scientific Computing jobs in Chicago, IL?

For Virtual Scientific Computing jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Virtual Scientific Computing jobs in Chicago, IL look for?

The top searched job categories for Virtual Scientific Computing jobs in Chicago, IL are:

Virtual Scientific Computing jobs near you

Senior Machine Learning Engineer

Career Renew

Chicago, IL • Remote

$165K - $225K/yr

Full-time

Re-posted 24 days ago

Job description

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.
We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis.
Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities.

About the Role

We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows.
Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications
Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements
Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks
Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges
Explore image representation in latent space for efficient, high-fidelity virtual staining
Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap

Collaboration
Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements
Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures
Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems
Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines
Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches

Required Qualifications

PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field
Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising
Expert proficiency in Python and PyTorch and other scientific computing environments a plus
Strong mathematical foundation in linear algebra, probability, and optimization
Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure)
Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles
Experience with feature search, data balancing, and data curation pipelines.
Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines
Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment
Extensive use of AI tools for coding, optimization, and ideation

Preferred Qualifications

Experience with medical imaging, digital pathology, or whole slide image (WSI) processing
Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem
Background in generative models and fine-tuning of foundation models
Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton
Experience with hosting computer vision model inference on NVIDIA DGX Spark.
Understanding of FDA regulatory requirements for AI/ML in medical devices
Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices
Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility

What We Offer

The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.