Computational Chemistry & AI/ML Scientist

Marlabs Inc.; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

Marlabs, a global AI and Digital Solutions Consulting firm, seeks a Computational Chemistry & AI/ML Scientist to accelerate molecular design, property prediction, and drug discovery research across multidisciplinary teams.

You will design and deploy AI/ML models (graph nets, transformers) and apply molecular modeling, dynamics, and quantum chemistry methods using tools like Schrödinger, GROMACS, RDKit, and PyTorch, collaborating to deliver scalable pipelines in cloud/HPC environments.

Qualifications

• PhD in Computational Chemistry, Cheminformatics, Chemistry, Computer Science, Data Science, or related field with 1–3 years of relevant research.
• Expertise in deep learning frameworks (PyTorch, JAX) and graph neural networks for molecular apps.
• Experience deploying AI/ML models for molecular property prediction or drug discovery.
• Strong background in molecular modeling, dynamics, quantum chemistry; familiarity with Schrödinger, MOE, AMBER, GROMACS, NAMD, PyMOL, or VMD.
• Proficient in Python and scientific ecosystems (RDKit, scikit-learn, NumPy, Pandas, TensorFlow, PyTorch) and Linux/HPC.
• Excellent analytical, scientific communication, and independent collaboration skills.
• Pharma/biotech or life sciences research experience preferred.

Responsibilities

• Design, develop, and deploy AI/ML models for molecular design and property prediction.
• Apply computational chemistry methods such as molecular modeling, dynamics, and quantum calculations.
• Build generative AI workflows for de novo design and lead optimization.
• Develop and maintain cheminformatics pipelines and model validation frameworks.
• Collaborate with cross-disciplinary teams to evaluate model performance and insights.
• Deploy scalable workflows in cloud and HPC environments.

Skills

Deep learning

PyTorch

JAX

Graph neural networks

Transformers

Generative AI models

Geometric deep learning

Molecular property prediction

Molecule generation

Lead optimization

Drug discovery

Python

RDKit

Scikit-learn

Pandas

NumPy

TensorFlow

Linux HPC

Analytical thinking

Scientific communication

Problem-solving

Pharma/Life sciences experience

Education

PhD in Computational Chemistry, Cheminformatics, Chemistry, Computer Science, Data Science, or related field

Tools

Schrödinger Suite

MOE

AMBER

GROMACS

NAMD

PyMOL

VMD

Python

Job description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Computational Chemistry & AI/ML Scientist to join our innovative and dynamic team.

Computational Chemistry & AI/ML Scientist | About You

As a Computational Chemistry & AI/ML Scientist, you will leverage advanced computational chemistry methodologies, machine learning, and generative AI technologies to accelerate molecular design, property prediction, and drug discovery research. You will collaborate closely with multidisciplinary scientific teams to develop and deploy cutting-edge AI/ML models, molecular simulation workflows, and computational platforms that support lead discovery, optimization, and predictive modeling initiatives. The ideal candidate combines deep expertise in computational chemistry with hands-on experience in modern AI/ML frameworks and molecular modeling technologies.

Computational Chemistry & AI/ML Scientist | Day-to-Day

• Design, develop, and deploy AI/ML models, including graph neural networks, transformers, generative models, and Bayesian optimization techniques for molecular property prediction and molecular design.
• Apply computational chemistry methodologies such as molecular modeling, molecular dynamics simulations, quantum mechanical calculations, and structure-based modeling to support research initiatives.
• Build and optimize generative AI workflows for de novo molecular design, scaffold hopping, lead optimization, and multi-parameter optimization challenges.
• Develop and maintain cheminformatics pipelines, molecular datasets, and model validation frameworks using Python and modern machine learning libraries.
• Collaborate with scientific, computational, and data science teams to evaluate model performance, generate actionable insights, and support decision-making throughout the drug discovery process.
• Deploy scalable AI and computational chemistry workflows within cloud and high-performance computing environments while supporting continuous improvement of modeling and simulation capabilities.

Computational Chemistry & AI/ML Scientist | Skills & Experience

• Ph.D. in Computational Chemistry, Cheminformatics, Chemistry, Computer Science, Data Science, or a related field, with 1-3 years of industry or academic research experience in computational chemistry, AI/ML, or molecular modeling.
• Strong expertise in deep learning and AI/ML frameworks, including PyTorch, JAX, graph neural networks, transformers, generative AI models, and geometric deep learning approaches for molecular applications.
• Hands-on experience developing and deploying AI/ML models for molecular property prediction, molecular generation, lead optimization, drug discovery, or related scientific applications.
• Strong computational chemistry background, including molecular modeling, molecular dynamics simulations, quantum chemistry, and experience with tools such as Schrödinger Suite, MOE, AMBER, GROMACS, NAMD, PyMOL, or VMD.
• Proficiency in Python and scientific computing ecosystems, including RDKit, Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch, and Linux-based or high-performance computing environments.
• Strong analytical, scientific communication, and problem-solving skills, with the ability to work independently and collaborate effectively across multidisciplinary research teams.
• Preferred experience in pharmaceutical, biotechnology, drug discovery, or life sciences research environments.