Machine Learning Researcher and Engineer

***While this position is posted in the Boston market to maximize regional outreach and exposure, the role is physically located in New York City. The successful candidate will be based in NYC to support local operations and team integration.

Practice Group: Machine Learning & Computational Biology

About the Role:

Innovation in quantitative science and high-performance computing requires more than data—it demands world-class infrastructure, sophisticated modeling, and flawless execution.

StaffRight Associates has been retained to source elite talent for a premier global quantitative research and technology firm. We are seeking an exceptional Machine Learning Researcher and Engineer to join a highly collaborative, intellectually rigorous interdisciplinary team applying machine learning to drug discovery, biomolecular simulation, and biophysics.

This is a high-impact position designed for a driven problem-solver who thrives at the intersection of deep learning architecture, computational biology, and real-world execution.

Key Responsibilities:

• Architect & Build: Design, optimize, and maintain critical deep learning models and software tools driving proprietary research in drug discovery and molecular dynamics.

• Data & Research Execution: Translate complex scientific datasets and abstract biological challenges into clear, scalable, high-performance machine learning frameworks.

• Systemic Optimization: Enhance model accuracy and computational throughput across specialized high-performance environments and supercomputing platforms.

• Cross-Functional Collaboration: Serve as a key technical interface, working directly alongside chemists, biologists, and computer scientists.

What You Bring:

• Academic Pedigree: Bachelors, Master’s, or Ph.D. in Computer Science, Applied Mathematics, Biophysics, Medicinal Chemistry, or a related STEM discipline.

• Technical Mastery: Strong command of core technical concepts and tools including Python, Deep Learning Frameworks, Machine Learning Architecture, Molecular Dynamics, Structural Biology, Cheminformatics, and Quantum Chemistry.

• Analytical Precision: Proven track record of scientific innovation and solving multi-faceted problems in high-performance computing, deep learning, or computational biology.

• Agile Mindset: Ability to balance rigorous scientific standards with fast-paced, autonomous execution in a collaborative research environment.

Compensation & Work Model:

• Base Salary Range: $300,000 – $900,000 annually (commensurate with prior experience and education).

• Additional Benefits: Variable compensation (sign-on and year-end bonuses), comprehensive health benefits, plus full relocation assistance.

• Work Schedule: Hybrid (Tuesday through Thursday in office; optional work-from-home on Monday and Friday).

Why Apply Through StaffRight Associates?

At StaffRight Associates, we specialize in placing elite technical talent into industry-defining roles. Partnering with us gives you:

• Direct Access: We put your profile directly in front of the hiring decision-makers, bypassing automated ATS filters.

• Transparent Guidance: Comprehensive insight into the interview process, technical expectations, and firm culture.

• Confidential Representation: Your background and candidacy are handled with total discretion at every step.