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Microscopy Remote Jobs in Chicago, IL (NOW HIRING)

Microscopy Remote information

See Chicago, IL salary details

$46.9K

$96K

$139.6K

How much do microscopy remote jobs pay per year?

As of Jul 26, 2026, the average yearly pay for microscopy remote in Chicago, IL is $95,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,100.00 and $121,600.00 per year, depending on experience, location, and employer.

What are Microscopy Remote jobs?

Microscopy Remote jobs involve performing microscopy-related tasks, such as analyzing images, processing data, or providing technical support, without being physically present in a laboratory. These roles typically require remote access to microscopy instruments or digital files, and may include responsibilities such as interpreting results, troubleshooting equipment, or collaborating with research teams online. Remote microscopy jobs are common in research, medical diagnostics, and industrial quality control, allowing professionals to contribute expertise from any location.

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

To thrive as a Microscopy Remote Specialist, you typically need a strong background in biology or materials science, microscopy techniques, and often a relevant degree or certification. Familiarity with digital imaging software, remote control platforms, and specific microscopy hardware such as SEM or TEM is important. Excellent problem-solving, attention to detail, and clear virtual communication skills help you guide users and troubleshoot issues remotely. These abilities are crucial for delivering high-quality imaging results and supporting users effectively from a remote environment.

What biology jobs pay over $100K?

In biology-related fields, roles such as biomedical directors, pharmaceutical research managers, and senior laboratory scientists often have salaries exceeding $100,000 annually. These positions typically require advanced degrees, specialized skills, and experience in research, management, or regulatory compliance.

How to make $70,000 a year from home?

A microscopy remote technician or specialist can earn $70,000 annually by working for companies that offer remote scientific or technical support, often requiring expertise in microscopy techniques, image analysis, and relevant software. Building skills in laboratory procedures, certifications, and a strong understanding of scientific equipment can help increase earning potential in remote roles. Consistent remote work, specialized knowledge, and experience are key factors in reaching this income level from home.

How to make $1000 a week remotely?

Microscopy remote jobs typically pay hourly or project-based rates, and earning $1000 weekly requires consistent work, specialized skills, and possibly multiple clients or projects. Building expertise in microscopy techniques, image analysis, or related software can increase earning potential, especially if you secure freelance or consulting opportunities that can be done remotely. Setting a schedule and marketing your skills can help reach this income level over time.

What are some common challenges faced when working remotely as a microscopy specialist, and how can they be addressed?

Microscopy specialists working remotely often face challenges such as limited physical access to equipment, coordinating with on-site laboratory staff, and troubleshooting technical issues from a distance. To address these, it's common to leverage remote desktop software, schedule regular video meetings with the lab team, and utilize cloud-based data sharing platforms. Building strong communication channels and maintaining detailed documentation also help ensure smooth collaboration and effective problem-solving across locations.

What jobs make $500,000 a year?

High-paying jobs that can reach $500,000 annually include specialized roles such as senior executives, surgeons, anesthesiologists, and certain technology executives. These positions often require advanced degrees, extensive experience, and leadership responsibilities, and may involve bonuses, stock options, or profit sharing. In the field of microscopy, roles like senior research scientists or biotech executives in large companies can also reach this level with experience and performance-based compensation.
What are the most commonly searched types of Microscopy jobs in Chicago, IL? The most popular types of Microscopy jobs in Chicago, IL are:
What job categories do people searching Microscopy Remote jobs in Chicago, IL look for? The top searched job categories for Microscopy Remote jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Microscopy Remote jobs? Cities near Chicago, IL with the most Microscopy Remote job openings:
Infographic showing various Microscopy Remote job openings in Chicago, IL as of July 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $95,988 per year, or $46.1 per hour.
Assistant Physicist

Assistant Physicist

Argonne National Laboratory

Lemont, IL • On-site, Remote

Full-time

Posted 15 days ago


Job description

The X-ray Imaging Group (https://www.aps.anl.gov/Imaging) of the X-ray Science Division (XSD) operates the full-field x-ray imaging beamlines at the Advanced Photon Source (APS) (https://www.aps.anl.gov/) and pursues collaborative research across materials, energy, environmental, geo-, and life sciences using micro- and nano-tomography and high-speed imaging.

With the APS Upgrade driving a substantial increase in data rates and experimental complexity, the group is investing in AI/ML-driven software, automation, and autonomous experimentation, including a planned fully autonomous, AI-driven tomography beamline - to keep pace with user demand and unlock new science. This work is carried out in close coordination with the APS Computational science and AI (CAI) (https://cai.xray.aps.anl.gov/) group and other APS AI efforts and activities spanning data, computing, and machine learning across the facility. The appointee will benefit from access to world-leading experimental and computational resources at Argonne, including the upgraded APS and the exascale Aurora supercomputer.

We seek highly motivated candidates with strong expertise in AI/ML and in the development of AI tools for scientific operations to join the X-ray Imaging Group. The successful candidate will lead the design and deployment of AI-powered software that supports user operations, automates data acquisition and analysis, and enables closed-loop, autonomous experiments across the group's beamlines.

Position Responsibilities:

  • Design, develop, and deploy AI/ML tools for x-ray imaging operations including reconstruction, super-resolution, spatiotemporal fusion, denoising, segmentation, and feature extraction - and integrate them into the beamline software stack.

  • Build closed-loop experimental workflows in which AI agents use streaming data and real-time reconstruction and analysis to steer measurement decisions, and contribute to the development of a fully autonomous, AI-driven tomography beamline as a flagship project for the group.

  • Collaborate with the APS Computation and AI (CAI) group and engage with other APS AI efforts and activities to align Imaging Group tools with facility-wide AI/ML infrastructure, data services, and computing resources, and to contribute to shared frameworks for autonomous experimentation.

  • Develop automated pipelines for acquisition, quality control, and downstream analysis that translate beamline-scientist expertise and currently manual operational steps into robust, reusable software.

  • Build and maintain pipelines for robust metadata capture and the systematic generation of curated, standardized datasets to support continual AI/ML model training and validation.

  • Provide on-site support for user operations and data collection across the X-ray Imaging Group beamlines, working directly with beamline staff and users during experiments.

  • Contribute to the longer-term extension of AI-enabled automation and autonomy across Imaging Group modalities, including micro- and nano-tomography and high-speed imaging.

  • Prepare experiments and instruments for remote and AI-driven operation.

  • Present research results through publications, conferences, and scientific meetings.

  • May be required to perform other duties as assigned.

Position Requirements

  • Ph.D. in computer science, electrical engineering, computational physics, computational materials science, applied mathematics, or a closely related field.

  • Demonstrated expertise in AI/ML applied to imaging or scientific data, including hands-on experience developing and deploying deep-learning models (e.g., CNNs, vision transformers, diffusion models, or related architectures).

  • Strong scientific software development skills in Python and modern deep-learning frameworks (e.g., PyTorch, TensorFlow), including experience with distributed training on high-performance computing resources.

  • Experience with high-performance computing (HPC) and/or cloud environments.

  • Experience with version control (e.g., Git) and collaborative software development practices.

  • Experience working with experimental imaging data, ideally at a synchrotron, electron microscopy, medical imaging, or comparable facility.

  • Ability to work effectively both independently and in a collaborative, team-based research environment.

  • Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork.

  • Interpersonal skills, oral and written communication skills, and ability to interact with people at all levels both within and outside the laboratory.

Preferred Knowledge, Skills, and Experience

  • Experience developing AI/ML methods specifically for x-ray imaging, tomography, or high-speed imaging applications.

  • Experience designing or contributing to automated, remote, or closed-loop ("self-driving") experimental workflows, including real-time data reduction, on-the-fly reconstruction, and AI-based experimental steering.

  • Experience collaborating with facility-level computing, data, or AI groups to deploy software into production scientific environments.

  • Experience handling high-rate, large-volume imaging datasets and developing high-throughput reconstruction or analysis pipelines.

  • Experience contributing to open-source scientific software projects.

  • Familiarity with metadata standards, data management, and curation practices that support reproducible science and ML training datasets.

  • Familiarity with beamline data acquisition systems, detectors, or controls software, sufficient to integrate AI tools into operational workflows.

Job Family

Research Development (RD)

Job Profile

Physics 2

Worker Type

Regular

Time Type

Full timeThe expected hiring range for this position is $94,486.00 - $147,398.94.

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.

Click here to view Argonne employee benefits!

As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.

All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.