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Machine Learning Computational Chemistry Jobs in Clark, NJ

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Adapts instruction using computational chemistry software, worked derivations, and visual quantum ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Adapts instruction using computational chemistry software, worked derivations, and visual quantum ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Adapts instruction using computational chemistry software, worked derivations, and visual quantum ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Adapts instruction using computational chemistry software, worked derivations, and visual quantum ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Adapts instruction using computational chemistry software, worked derivations, and visual quantum ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Adapts instruction using computational chemistry software, worked derivations, and visual quantum ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Adapts instruction using computational chemistry software, worked derivations, and visual quantum ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Adapts instruction using computational chemistry software, worked derivations, and visual quantum ...

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Machine Learning Computational Chemistry information

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 Clark, NJ?

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

What cities near Clark, NJ are hiring for Machine Learning Computational Chemistry jobs?

Cities near Clark, NJ with the most Machine Learning Computational Chemistry job openings:

Infographic showing various Machine Learning Computational Chemistry job openings in Clark, NJ as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Full-time

Re-posted 29 days ago


Job description

Job Summary:
Columbia University Irving Medical Center is seeking a Machine Learning Scientist focused on deep learning models for biomolecular systems and drug discovery. The role involves developing neural network architectures, designing active learning experiments, and collaborating with team members and industry partners.
Responsibilities:
• Design and train state-of-the-art neural network architectures for biomolecular systems, including prediction of protein-ligand, protein-protein, and antibody-antigen structures and affinities, and protein conformational ensembles.
• Design active learning algorithms and experiments to steer large-scale data acquisition campaigns focused on improving biomolecular models.
• Devise experiments to understand scaling behavior of biomolecular models.
• Curate and prepare datasets, and develop dataset processing algorithms, for in-acquisition and proprietary datasets, including in federated training settings.
• Develop new ideas, write code, run experiments, analyze data, and prepare reports.
• Be an active member of one or more highly collaborative teams.
• Stay current with the ultrafast-paced nature of biomolecular machine learning.
• Maintain and enhance external visibility through publishing papers, writing open-source code, and engaging with the scientific community.
Qualifications:
Required:
• M.S. in computer science / machine learning, computational biology, or related quantitative fields plus five years of related experience, or equivalent combination of education/experience.
Preferred:
• Ph.D. in computer science / machine learning, computational biology, or related quantitative fields.
• Extensive machine learning experience, including design, training, and deployment of complex neural architectures.
• Extensive programming experience in Python.
• Strong interpersonal skills, excellent written and verbal communication, and the ability to work effectively in cross-functional teams.
Company:
Columbia University Irving Medical Center is a clinical and educational enterprise that offers medical, dental, and nursing services. It is a sub-organization of Columbia University. Founded in 1767, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.