Practice Group: Machine Learning & Computational BiologyAbout 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:
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Architect & Build: Design, optimize, and maintain critical deep learning models and software tools driving proprietary research in drug discovery and molecular dynamics.
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Data & Research Execution: Translate complex scientific datasets and abstract biological challenges into clear, scalable, high-performance machine learning frameworks.
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Systemic Optimization: Enhance model accuracy and computational throughput across specialized high-performance environments and supercomputing platforms.
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Cross-Functional Collaboration: Serve as a key technical interface, working directly alongside chemists, biologists, and computer scientists.
What You Bring:
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Academic Pedigree: Bachelor''s, Master’s, or Ph.D. in Computer Science, Applied Mathematics, Biophysics, Medicinal Chemistry, or a related STEM discipline.
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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.
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Analytical Precision: Proven track record of scientific innovation and solving multi-faceted problems in high-performance computing, deep learning, or computational biology.
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Agile Mindset: Ability to balance rigorous scientific standards with fast-paced, autonomous execution in a collaborative research environment.
Compensation & Work Model:
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Base Salary Range: $300,000 – $900,000 annually (commensurate with prior experience and education).
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Additional Benefits: Variable compensation (sign-on and year-end bonuses), comprehensive health benefits, plus full relocation assistance.
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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:
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Direct Access: We put your profile directly in front of the hiring decision-makers, bypassing automated ATS filters.
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Transparent Guidance: Comprehensive insight into the interview process, technical expectations, and firm culture.
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Confidential Representation: Your background and candidacy are handled with total discretion at every step.