Machine Learning Researcher and Engineer

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

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., * Academic Pedigree: Bachelor’’s, 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.

• 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).