Computational Chemistry & AI/ML Scientist

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

Job summary

Marlabs Inc. in the United States is seeking a Computational Chemistry & AI/ML Scientist to advance molecular design and predictive modeling using advanced AI/ML methods and computational chemistry workflows.

You will design and deploy graph neural networks, transformers, generative AI models, and quantum simulations, collaborating with multidisciplinary teams to accelerate drug discovery. The role requires a Ph.D.

Qualifications

• Ph.D. in Computational Chemistry or related field with 1–3 years of experience in computational chemistry/AI/ML.
• Strong expertise in deep learning and AI/ML frameworks (PyTorch, JAX, graph nets, transformers).
• Hands-on AI/ML model development for molecular property prediction and drug discovery.

Responsibilities

• Design, develop, and deploy AI/ML models for molecular design and property prediction.
• Apply computational chemistry methods such as modeling and dynamics to support research.
• Build generative AI workflows for de novo design and lead optimization.
• Develop cheminformatics pipelines, datasets, and model validation using Python.
• Collaborate with cross-disciplinary teams to evaluate models and inform decisions.
• Deploy scalable workflows in cloud/HPC environments and improve capabilities.

Skills

Graph neural networks

Transformers

Generative AI

Bayesian optimization

Python

HPC environments

Chemoinformatics

Education

Ph.D. in Computational Chemistry

Tools

Schrödinger Suite

MOE

AMBER

GROMACS

NAMD

PyMOL

VMD

RDKit

Scikit-learn

Pandas

NumPy

TensorFlow

PyTorch

Job description

the company, 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.