CalTech - California Institute of Technology Jobs

CalTech - California Institute of Technology

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Pasadena, CA

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"Research Scientist, AI for the Chemical Sciences"

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Research Scientist, AI for the Chemical Sciences

Research Scientist

2026-03-28

Location

Pasadena, CA

Caltech

Type

Full-time Term, Exempt

Salary

$175,000 - $190,000 Per Year

Teaching Load

Lead 2-week AI/ML Summer Bootcamp + Year-round Mentorship

Required Qualifications

PhD in Chemistry/Chemical Engineering/Materials Science/CS
ML/Data Science Expertise in Chemical Sciences
Computational Workflows Experience
Strong Programming Skills
Teaching/Mentoring Experience
Collaboration & Communication Skills

Research Areas

AI/ML for Chemistry
Molecular Representations
Deep Learning/Generative Models
Reactions/Catalysis/Spectroscopy
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Research Scientist, AI for the Chemical Sciences

Position Description

Research Scientist, AI for the Chemical Sciences

Job Category
Fulltime Term

ExemptOvertimeEligible
Exempt

Benefits Eligible
Benefit Based

Apply Now

Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community.


Job Summary

We seek a Research Scientist with expertise at the interface of machine learning, data science, and the chemical sciences to lead the AI for the Chemical Sciences Summer Bootcamp. This individual will design and deliver an intensive, hands-on educational program while working closely with CCE faculty and external experts. The Research Scientist will also support post-bootcamp research integration, enabling participants to apply AI/ML methods to active research projects across CCE. The role is central to building sustainable computational infrastructure, curriculum, and collaborative research pathways in AI-enabled chemistry.

Essential Job Duties

  • Lead the design, development, and delivery of a two-week immersive summer bootcamp on AI/ML for the chemical sciences.
  • Develop and teach lectures and hands-on computational laboratories covering data curation, molecular representations, machine learning models, deep learning, generative models, and applications in reactions, catalysis, and spectroscopy.
  • Coordinate with CCE faculty and invited guest lecturers to integrate domain expertise into the curriculum.
  • Provide year-round mentorship and technical support to bootcamp participants as they transition AI/ML skills into active research projects within CCE laboratories.
  • Develop and maintain computational workflows, datasets, and teaching materials for reuse and long-term integration into CCE training programs.
  • Support interdisciplinary research collaborations that combine experimental and computational approaches.
  • Contribute to the development or operation of shared automation or robotic experimentation platforms linked to AI-driven research.
  • Publish and disseminate methodological or applied research outcomes arising from bootcamp-enabled projects.
  • Assist with assessment, reporting, and continuous improvement of the bootcamp program.
  • Participate in outreach, workshops, and related educational activities within CCE.
  • Perform other related job duties as assigned.

Basic Qualifications

  • PhD in chemistry, chemical engineering, materials science, computer science, or a closely related field.
  • Demonstrated expertise in machine learning and data science applied to problems in the chemical sciences.
  • Experience developing and implementing computational workflows for chemical data analysis or modeling.
  • Strong programming skills relevant to scientific computing and ML.
  • Experience teaching, mentoring, or training students and researchers.
  • Ability to work collaboratively with faculty, students, postdoctoral researchers, and administrative staff.
  • Strong written and oral communication skills.
  • High scientific rigor, creativity, and ethical standards.
  • Excellent organizational and time management skills, with the ability to manage multiple responsibilities.

Preferred Qualifications

  • Experience applying ML to molecular property prediction, reactions, catalysis, or spectroscopy.
  • Familiarity with deep learning architectures such as graph neural networks and generative models.
  • Experience with ML-accelerated electronic structure methods, molecular dynamics, or spectral analysis.
  • Experience with automation hardware or robotic platforms for chemical experimentation.
  • Background in curriculum development or educational program leadership.
  • Familiarity with best practices in data curation, model interpretability, and responsible AI use.

Required Documents

  • Resume

Hiring Range

$175,000 - $190,000 Per Year

The salary of the finalist(s) selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training.

As one of the largest employers in Pasadena, CA, Caltech is committed to providing comprehensive benefits to eligible employees and their eligible dependents. Our benefits package includes competitive compensation, health, dental, and vision insurance, retirement savings plans, generous paid time off (vacation, holidays, sick time, parental leave, bereavement, etc.), tuition reimbursement, and more. Non-benefit eligible employees will have access to some benefits such as onsite counseling and sick time. Learn more about our benefits and staff perks.

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Frequently Asked Questions

🎓What are the basic qualifications for this Research Scientist role at Caltech?

Candidates must hold a PhD in chemistry, chemical engineering, materials science, computer science, or related field. Required expertise includes machine learning and data science applied to chemical sciences, experience with computational workflows, programming skills in scientific computing/ML, teaching/mentoring, collaboration, communication, scientific rigor, and organizational skills. See research jobs for similar roles.

💰What is the salary and benefits for this AI Chemical Sciences position?

The hiring range is $175,000 - $190,000 per year, based on experience and internal equity. Benefits include health/dental/vision insurance, retirement savings, generous PTO (vacation, holidays, sick, parental leave), tuition reimbursement. Non-benefit eligible access onsite counseling/sick time. Explore higher ed benefits trends.

🔬What are the essential duties of the Research Scientist?

Lead design/delivery of 2-week AI/ML summer bootcamp for chemical sciences; develop/teach lectures/labs on data curation, molecular representations, ML models, deep learning, generative models, applications in reactions/catalysis/spectroscopy. Coordinate faculty/lecturers, mentor participants year-round, maintain workflows/datasets, support collaborations, contribute to automation platforms, publish outcomes, assess program. Details in Caltech research opportunities.

What preferred qualifications enhance candidacy?

Preferred: ML experience in molecular property prediction/reactions/catalysis/spectroscopy; familiarity with graph neural networks/generative models; ML-accelerated electronic structure/molecular dynamics/spectral analysis; automation/robotic platforms; curriculum development; data curation/model interpretability/responsible AI. Aligns with postdoc research success tips.

📝How to apply for this Caltech AI Research Scientist job?

Required documents: Resume. Apply via official link: Apply Now. Deadline around March 28, 2026. Tailor resume to PhD/ML expertise. Use academic CV tips for success.

📍What is the location and employment type?

Position in Pasadena, CA at world-renowned Caltech. Full-time term, exempt (no overtime), benefit-based. Supports CCE labs with AI infrastructure/curriculum. View lab/research jobs in Pasadena.
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