Researcher/Engineer: AI Biomolecular Modelling Simulation

Job Description

Job Title: Senior Researcher/Engineer: AI for Biomolecular Modelling and Simulation. Location: United States (Multiple Locations, Remote)

Job Type: Full-Time

Responsibilities:

• Contribute to and lead the development of high-impact research projects in machine learning for molecular sciences.

• Develop strategies to integrate large-scale data from molecular simulations and laboratory experiments.

• Identify new and useful sources of scientific data;

• Write research code to test new approaches and develop new theoretical and practical insights.

• Prepare technical research papers and presentations.

• Collaborate daily with an international and interdisciplinary research team.

• Commit to a long-term research project that may take several years to complete.

• Prioritize team success while contributing to shared research goals.

Qualifications:

• Master's degree in a relevant field with at least 1 year of related research experience; OR

• Bachelor's degree in a relevant field with at least 2 years of related research experience; OR

• Equivalent practical experience.

Preferred:

• Doctorate in a relevant field; OR

• Master's degree with at least 3 years of related research experience; OR

• Bachelor's degree with at least 5 years of related research experience; OR

• Equivalent experience.

• Experience in Python software development, object-oriented programming, and basic software deployment.

• Published software projects, preferably available on GitHub.

• Experience developing and implementing deep learning systems using PyTorch or JAX.

• Experience with agentic software design and testing;

• Experience in molecular modelling or simulation, preferably involving biomolecules.

• Background in protein science, bioinformatics, biophysics, or computational chemistry.

• Understanding of computational statistics and generative models, such as diffusion models or flow models.

• Experience developing methods for molecular dynamics and statistical mechanics.

• Track record of developing and optimizing new deep learning architectures.

• High-quality research publications in leading scientific or interdisciplinary journals and conferences, or demonstrated leadership in software development.

Benefits and Compensation:

• Annual base salary of $119,800–$234,700 across most US locations.

• Annual base salary of $160,200–$261,000 in the San Francisco Bay Area and New York City metropolitan area.

• Certain positions may qualify for additional benefits and compensation.

• Access to Microsoft's employee benefits and compensation programs.

Other Information:

• Work arrangement: Fully remote, with 0 days per week in the office.

• Travel requirement: Less than 25%.

• Profession: Research, Applied, and Data Sciences.

• Discipline: Research Sciences.

• Role type: Individual Contributor;

• Career level: IC4.

• Job number: 200064385.

• Date posted: November 3, 2026.

• Applications will remain open until the position is filled, subject to a minimum posting period of 5 days.

• Applicants must submit a CV that includes publications and other scientific or engineering contributions, such as links to developed software.

• Microsoft is an equal opportunity employer.