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Nanotechnology Data Scientist Jobs (NOW HIRING)

Mat3ra

Computational Materials Scientist

Walnut Creek, CA · On-site

$90K - $140K/yr

... data science, and computer science to help us develop a software framework for designing and ... Work will focus on (1) the application of nanoscale modeling to large sets of materials, surfaces ...

Mat3ra

Computational Materials Scientist

Walnut Creek, CA · On-site

$90 - $140/hr

... data science, and computer science to help us develop a software framework for designing and ... Work will focus on (1) the application of nanoscale modeling to large sets of materials, surfaces ...

Mat3ra

Computational Materials Scientist

Walnut Creek, CA · On-site +1

$90K - $140K/yr

... data science, and computer science to help us develop a software framework for designing and ... Work will focus on (1) the application of nanoscale modeling to large sets of materials, surfaces ...

n-Lorem

Scientist - Upregulation

San Diego, CA · On-site

$90K - $120K/yr

We hope that you will consider joining us as we strive to change the world, one nano-rare patient ... Strong experience in performing high-throughput screening assays and data analysis. * Excellent ...

Subsense

Senior Nanoscientist

Mountain View, CA · On-site

$120 - $145/hr

You'll work closely with the Nanoscience team and Acting Director, R&D Execution across neuroscience, hardware, software, and data science teams to advance our technology. Key Responsibilities * Lead ...

Subsense

Senior Nanoscientist

Mountain View, CA

$120K - $145K/yr

You'll work closely with the Nanoscience team and Acting Director, R&D Execution across neuroscience, hardware, software, and data science teams to advance our technology. Key Responsibilities * Lead ...

Samson Rose

Photonics Scientist

Los Angeles, CA · On-site

$150 - $210/hr

Conduct applied research in nanophotonics, including metasurfaces, plasmonic and refractory optical ... S. citizen or lawful permanent resident) as required to access export-controlled technical data ...

Samson Rose

$150 - $210/hr

Conduct applied research in nanophotonics, including metasurfaces, plasmonic and refractory optical ... S. citizen or lawful permanent resident) as required to access export-controlled technical data ...

Nulixir Inc.

Application Scientist

Austin, TX · On-site

Application Scientist - Functional Food & Beverage Position Overview ... Are you excited by the idea of turning cutting-edge nanotechnology and analytical data into real ...

Subsense

Senior Nanoscientist

Mountain View, CA · On-site

$120K - $145K/yr

You'll work closely with the Nanoscience team and Acting Director, R&D Execution across neuroscience, hardware, software, and data science teams to advance our technology. Key Responsibilities * Lead ...

Socket.dev

Sr. Scientist, Delivery Sciences

Cambridge, MA · On-site

$131 - $209/hr

We are seeking an accomplished Scientist to lead the development of targeted lipid nanoparticle ... Independently Design and execute experiments; analyze, interpret, and clearly communicate data to ...

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Nanotechnology Data Scientist information

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How much do nanotechnology data scientist jobs pay per year?

As of Aug 22, 2026, the average yearly pay for nanotechnology data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does a nanotechnology data scientist do?

A Nanotechnology Data Scientist analyzes and interprets large datasets generated from nanoscale experiments and simulations. They use advanced statistical methods, machine learning, and data visualization tools to uncover patterns and insights that drive research and product development in nanotechnology. Their work supports innovations in fields like medicine, electronics, and materials science by helping to optimize nanoscale processes and materials. Collaboration with engineers, physicists, and chemists is common to ensure the data-driven solutions are practical and aligned with scientific goals.

What skills and qualifications are needed to be a nanotechnology data scientist?

To thrive as a Nanotechnology Data Scientist, you need a strong background in data analysis, machine learning, and nanoscience, typically supported by an advanced degree in physics, materials science, engineering, or a related field. Proficiency with programming languages like Python or R, experience with data visualization tools, and familiarity with specialized simulation software are commonly required. Strong analytical thinking, problem-solving skills, and effective communication are vital soft skills for interpreting complex data and collaborating with interdisciplinary teams. These skills are crucial for extracting actionable insights from nanoscale datasets and driving innovation in nanotechnology research and applications.

How does a nanotechnology data scientist collaborate with multidisciplinary teams?

Nanotechnology Data Scientists often work closely with physicists, chemists, material scientists, and engineers to analyze and interpret complex datasets generated from nanoscale experiments or simulations. They play a crucial role in bridging the gap between experimental results and actionable insights by developing algorithms, visualizations, and predictive models. This collaboration often involves regular meetings to discuss findings, align research objectives, and ensure that data-driven approaches enhance the team's overall project goals. Effective communication and the ability to translate technical data into understandable information for non-data specialists are key to success in this role.

Is nanotechnology a good career?

A career as a nanotechnology data scientist involves working with nanoscale data, advanced materials, and computational tools. It offers opportunities in research, industry, and academia, often requiring strong skills in data analysis, programming, and scientific knowledge. The field is growing with increasing applications in medicine, electronics, and energy sectors.
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Nanotechnology Data Scientist jobs near you
Infographic showing various Nanotechnology Data Scientist job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Hybrid job distribution, with an average salary of $122,738 per year, or $59 per hour.

Assistant Scientist - AI for Autonomous Synthesis and Multimodal Characterization

Argonne National Laboratory

Lemont, IL • On-site

Full-time

Re-posted 13 days ago

Job description

The Center for Nanoscale Materials (CNM) and the Advanced Photon Source (APS) at Argonne National Laboratory invite applications for a joint Assistant Scientist position focused on developing and applying artificial intelligence (AI) and machine learning (ML) methods for the autonomous, self-driving synthesis of nanoscale and quantum materials.
This is an exciting opportunity to help shape a new generation of closed-loop, AI-enabled experimental workflows that tightly integrate synthesis within situ and operando x-ray, electron, and optical characterization. The successful candidate will help bridge CNM's world-class capabilities in nanofabrication and chemical synthesis with APS's leading synchrotron measurement tools, enabling adaptive and autonomous exploration of complex materials design spaces.
In this role, you will lead a research program centered on AI-driven autonomous synthesis, including:
  • Active learning and Bayesian optimization over synthesis parameters such as precursors, temperature, sequences, and pressure
  • Generative and inverse-design models for materials discovery
  • Closed-loop feedback frameworks that use in situ/operando scattering, spectroscopy, and imaging to guide synthesis in real time
  • AI-enabled analysis of high-throughput, multimodal experimental data with uncertainty quantification
  • Integration of edge computing, high-performance computing (HPC), and scientific data infrastructure to support scalable, user-facing autonomous workflows across CNM synthesis platforms and APS beamlines

This position is a joint appointment between the Theory and Modeling Group at CNM and the Computational Science and AI Group (CAI) at APS. The successful candidate will have access to Argonne's exceptional ecosystem of facilities and expertise, including the upgraded APS, CNM's advanced synthesis and characterization capabilities, and leadership-class computing resources at the Argonne Leadership Computing Facility.
Key Responsibilities
  • Lead and develop a research program in AI-enabled autonomous materials synthesis
  • Design and implement closed-loop experimental workflows that integrate synthesis, characterization, and decision-making
  • Develop and apply AI/ML methods for active learning, optimization, inverse design, and experiment planning
  • Build analysis tools for multimodal, high-throughput experimental data, including real-time or near-real-time processing
  • Collaborate closely with scientists across materials synthesis, characterization, beamline science, theory, and computing
  • Contribute to the development of scalable computational and data workflows spanning edge, beamline, and HPC environments
  • Publish in peer-reviewed journals, present at scientific meetings, and help shape future directions in autonomous materials research

Position Requirements
  • Ph.D. in physical chemistry, inorganic chemistry, computational materials science, chemical engineering, or a related field, along with 3-6 years of postdoctoral research experience
  • A strong understanding of nanomaterials synthesis and/or in situ/operando x-ray characterization (including scattering, spectroscopy, or imaging), with demonstrated experience connecting the two
  • Proven experience developing and applying AI/ML methods to autonomous experimentation, closed-loop optimization, active learning, or inverse design
  • A strong publication record demonstrating innovation in AI/ML for materials synthesis, synchrotron experiments, or a closely related area
  • Experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX
  • Experience with optimization and active-learning libraries such as BoTorch, GPyTorch, or scikit-learn
  • Strong programming skills, especially in Python, including integration with experimental control systems or lab-automation frameworks
  • Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork

Preferred Qualifications
  • Experimental control and orchestration frameworks such as ROS, Bluesky, or EPICS
  • Laboratory automation and robotic synthesis platforms
  • Generative models, reinforcement learning, or agentic AI approaches for materials discovery and experiment planning
  • Multimodal data fusion and real-time data reduction for synchrotron or nanoscale experiments
  • High-performance computing (HPC), edge-to-HPC workflows, and scientific data infrastructure
  • Digital twins, physics-informed machine learning, or simulation-augmented experiment design
  • Excellent written and verbal communication skills, with the ability to work effectively in a highly collaborative, multidisciplinary environment

Application Materials
Please upload the following as part of your application:
  • Curriculum Vitae (CV)
  • Cover Letter

RD2: Bachelors and 5+ years of experience, Masters and 3+ years, or PhD and 0+ years, or equivalent
Job Family
Research Development (RD)
Job Profile
Materials/Ceramics/Metallurgical 2
Worker Type
Regular
Time Type
Full time
The 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.

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