***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: Computer Science / Scientific Infrastructure & Machine Learning
About the Role
Innovation in quantitative science, drug discovery, and high-performance computing requires more than data—it demands world-class infrastructure, sophisticated modeling, and flawless execution. StaffRight Associates is recruiting for an elite talent for a premier global quantitative research and technology firm in New York City.
We are seeking an exceptional Research Software Developer to join a highly collaborative, intellectually rigorous team where computational excellence is the standard. Software developers at all levels of experience—including entry-level—will develop, deploy, and support software tools and systems for scientific modeling, simulation, and analysis. This role is directly involved in building infrastructure for distributed/parallel training, leveraging LLMs, and applying advanced machine learning models to drive cutting-edge drug discovery efforts.
This is a high-impact position designed for a driven problem-solver who thrives at the intersection of complex architecture, advanced algorithms, and real-world scientific execution, working alongside a world-class team of chemists, biologists, machine learning engineers, and computer scientists.
Key Responsibilities
Architect & Build: Design, optimize, and maintain critical tools and infrastructure driving scientific data pipelines, LLM model training and deployment, and large-scale distributed systems.
Data & Research Execution: Translate complex datasets, chemical/ML data, and abstract technical challenges into clear, scalable, high-performance workflows and cheminformatics tools.
Systemic Optimization: Identify technical friction points, eliminate bottlenecks, install/troubleshoot software, and enhance operational velocity across GPU clusters and high-concurrency computing environments.
Cross-Functional Collaboration: Serve as a key technical interface, working directly with quantitative researchers, machine learning engineers, biologists, and computational chemists to improve end-user computing environments.
What You Bring
Academic Pedigree: Bachelors, Masters, or Ph.D. in Computer Science, Applied Mathematics, Physics, Computational Chemistry, or a related STEM discipline.
Technical Mastery: Strong command of Core Technical Concepts and tools, specifically:
Languages: Python, C++, Linux/UNIX Tools
ML/AI Frameworks: PyTorch, MLflow, vLLM, SGLang, Generative & Agentic AI
Infrastructure: GPU Clusters, Distributed/Parallel Training, Data Management Pipelines
Analytical Precision: Proven track record in scripting and automating scientific workflows, managing complex data, or solving multi-faceted problems in high-performance computing.
Agile Mindset: Intellectual curiosity, versatility, and a track record of achievement, balancing rigorous engineering standards with fast-paced execution.
Compensation & Benefits
Base Salary Range: $250,000 – $600,000 (Determined based on prior experience and educational background)
Additional Benefits: Variable compensation (sign-on and year-end bonuses), generous full benefit package, relocation assistance, and immigration support.
Work Arrangement: Hybrid model (In-office Tuesday–Thursday; optional remote 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 get 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.
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