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Machine Learning Computational Chemistry Jobs in Colorado

Machine Learning Engineer

Aurora, CO ยท On-site

$120 - $180/hr

Machine Learning EngineerLOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this ... Computational Biology, Physics, ect. ALTERNATE EXPERIENCE General comment on degrees: Most ...

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this ... Computational Biology, Physics, ect. ALTERNATE EXPERIENCE General comment on degrees: Most ...

HPC Software Architect

Aurora, CO ยท On-site

$150 - $190/hr

... Architect, Machine Learning Architect for HPC, Computational Framework Architect, Advanced ... Biology, Computational Chemistry, Information Technology, Systems Engineering, Artificial ...

... Architect, Machine Learning Architect for HPC, Computational Framework Architect, Advanced ... Biology, Computational Chemistry, Information Technology, Systems Engineering, Artificial ...

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Machine Learning Computational Chemistry information

See Colorado salary details

$23.1K

$107.8K

$199.1K

How much do machine learning computational chemistry jobs pay per year?

As of Aug 23, 2026, the average yearly pay for machine learning computational chemistry in Colorado is $107,754.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,483.00 and $145,436.00 per year, depending on experience, location, and employer.

What is machine learning computational chemistry?

Machine learning computational chemistry is a field that combines machine learning techniques with computational chemistry to accelerate the discovery and design of molecules and materials. By training algorithms on large datasets of chemical information, researchers can predict molecular properties, simulate chemical reactions, and optimize compounds more efficiently than traditional methods. This approach helps reduce the time and cost required for research in drug discovery, materials science, and related fields.

What are some common challenges faced by professionals working in machine learning computational chemistry roles?

One common challenge in Machine Learning Computational Chemistry roles is integrating large and often complex chemical datasets with appropriate machine learning models, which requires a solid understanding of both domains. Professionals may also encounter difficulties in ensuring that their models are both interpretable and generalizable to new data, as overfitting is a frequent issue. Additionally, collaboration with chemists and data scientists is essential, so clear communication across disciplines is key to success. Staying up to date with the latest developments in both computational chemistry and machine learning is crucial for ongoing professional growth.

What are the key skills and qualifications needed to thrive as a machine learning computational chemist, and why are they important?

To thrive as a Machine Learning Computational Chemist, you need a solid background in chemistry, mathematics, and computer science, typically supported by an advanced degree in computational chemistry, cheminformatics, or a related field. Proficiency with programming languages (such as Python), machine learning frameworks (like TensorFlow or PyTorch), and molecular modeling software is essential. Strong analytical thinking, problem-solving skills, and effective collaboration are key soft skills that help drive innovation and teamwork. These skills and qualifications are critical for developing accurate models, advancing research, and translating computational insights into real-world chemical solutions.

What is the difference between Machine Learning Computational Chemistry vs Computational Chemist?

AspectMachine Learning Computational ChemistryComputational Chemist
Required CredentialsAdvanced degrees in chemistry, computer science, or related fields; knowledge of machine learning and programmingDegree in chemistry, chemical engineering, or related fields; strong background in chemical theory and modeling
Work EnvironmentResearch labs, tech companies, academia; focus on algorithm development and data analysisLaboratories, research institutions, industry; focus on chemical modeling and simulation
Employer & Industry UsageTech firms, pharmaceutical companies, research institutions applying AI/ML techniquesPharmaceutical, chemical, and materials industries conducting chemical research and development

Machine Learning Computational Chemists specialize in applying machine learning algorithms to chemical data, enhancing predictive models and simulations. Computational Chemists focus on traditional chemical modeling and simulations using computational methods. Both roles require strong chemistry backgrounds, but Machine Learning Computational Chemists emphasize data science and AI skills, while Computational Chemists focus on chemical theory and modeling techniques.

What are popular job titles related to Machine Learning Computational Chemistry jobs in Colorado?

For Machine Learning Computational Chemistry jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Machine Learning Computational Chemistry jobs in Colorado look for?

The top searched job categories for Machine Learning Computational Chemistry jobs in Colorado are:

What cities in Colorado are hiring for Machine Learning Computational Chemistry jobs?

Cities in Colorado with the most Machine Learning Computational Chemistry job openings:

Assistant Professor of Chemistry & Biochemistry

Colorado Psychiatric

Colorado Springs, CO โ€ข On-site

$90 - $120/hr

Other

Posted yesterday

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Job description

The Department of Chemistry & Biochemistry at Colorado College invites applications for a tenure-track Assistant Professor of Chemistry & Biochemistry with specialization in Computational Chemistry, to begin August 2027.

The department fosters a supportive and inclusive community of faculty and students who share a passion for chemistry and biochemistry. We aim to provide a nurturing learning environment that stimulates growth and intellectual exploration. As a community, we leverage the chemical sciences to promote scientific inquiry through interdisciplinary, experiential learning and research. The department also supports Colorado Collegeโ€™s commitment to Institutional Equity & Belonging through ongoing review and diversification of our curriculum and use of inclusive pedagogy in the classroom. Support and professional development for new faculty are available through opportunities such as the Mentoring Alliance Program (MAP) and the Crown Center for Teaching.

The primary teaching responsibilities for this position will include General Chemistry (CH107, CH108), and foundational courses and upper-level electives in the faculty memberโ€™s area of expertise. Faculty are also expected to contribute to Colorado Collegeโ€™s General Education Program. Tenure-track faculty are expected to teach six blocks per year, with two blocks for development of courses. In the Chemistry & Biochemistry department, one of the six teaching blocks is dedicated to mentored research. In addition to teaching responsibilities, tenure-track faculty are expected to maintain an active research program, mentor undergraduate research students, and engage in department and college service.

The successful candidate will have expertise in computational chemistry, broadly defined. We seek applicants whose research develops and/or applies computational approaches to address problems in chemistry or biochemistry, or at the interface of either with related disciplines. Preference will be given to candidates whose research interests are complementary to current areas of research expertise within the department. The successful candidate will have a strong commitment to undergraduate teaching and research in a liberal arts setting, and will be able to teach introductory and advanced chemistry courses, develop and maintain a strong research program that includes undergraduate students, advise students who are interested in chemistry and biochemistry, and contribute to the department and the college through service.

Colorado College is a nationally recognized, residential liberal arts and sciences college enrolling approximately 2,000 students from across the US and around the world. The College, located on a 99-acre campus in Colorado Springs, is distinguished by its immersive learning and pedagogy made possible by the Block Plan, in which professors teach, and students take, one course at a time. Each block is three and a half weeks long, allowing for unique teaching and learning strategies. Professors have a six-block teaching duty in the eight-block year, where one of the six blocks may be assigned to supervising senior and independent projects where the work is spread across the year rather than completed in a conventional block.

Colorado College actively promotes a dynamic and inclusive environment in which students and employees of diverse backgrounds, cultures, and perspectives can learn and work. Read more about the Collegeโ€™s commitment in our Institutional Equity & Belonging web page and the strategic plan โ€œThe Strategy for a More Just CC.โ€

Colorado College is an equal opportunity employer that welcomes members of all groups and reaffirms its commitment not to discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, caste, disability, protected veteran status, or any other characteristic protected by law in its educational programs, activities, and employment practices. We believe that the College grows stronger by recruiting, retaining, and promoting a diverse faculty committed to diversity and equity in education and employment.

For any questions, contact the chair of the search committee, Prof. Amanda Bowman, abowman@coloradocollege.edu.

You must meet the minimum qualifications to be considered for this position.

Minimum Qualifications

A Ph.D. in Chemistry, Biochemistry, or related field is required by the start of employment (applications from ABD candidates who will complete their Ph.D. before August 2027 will be considered).

Preferred Qualifications

Broad teaching experience in chemistry, including computational chemistry. Demonstrated success in teaching using innovative and inclusive methods. Ph.D. and postdoctoral research experience, including mentoring of undergraduate students.

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