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Drug Discovery Foundational LLM Research | Engineer

StaffRight Associates, LLC
York, NY Full Time
POSTED ON 8/3/2026 CLOSED ON 8/8/2026

What are the responsibilities and job description for the Drug Discovery Foundational LLM Research | Engineer position at StaffRight Associates, LLC?

Preface

The architectural integrity of global investment and technology research relies on the seamless convergence of Large-Scale Machine Learning Systems and rigorous computational execution. Within this domain, where the integration of complex data and high-performance systems is the primary objective, the necessity for first-principles mastery extends beyond the laboratory and into the operational nucleus of the organization.

StaffRight Associates is seeking an elite professional to join the Foundational LLM Research team at a world-class firm dedicated to the advancement of computational excellence. This role demands a candidate who possesses the intellectual pedigree required to navigate the complex challenges of a research-intensive environment. By bridging sharp technical acumen with proactive problem-solving, the successful candidate will ensure the structural alignment of the firm’s strategic mission with its technical execution.

The Mission

As a Foundational LLM Research Engineer, you will serve as a vital catalyst within a premier organization. The mission is to decouple systemic friction from analytical progress, allowing the firm’s leadership to maintain a singular focus on the acceleration of Biomolecular Simulation and Atomic-Level Drug Discovery.

You will be tasked with the sophisticated management of Distributed Training Infrastructure and Multimodal Model Architecture, transforming abstract organizational needs into formalized, actionable results. This role requires a high degree of technical literacy to effectively support a team leveraging proprietary architectures and sophisticated algorithms to revolutionize Targeted Therapeutics and Computational Molecular Science.

Core Technical Objectives

  • Orchestrate Systemic Workflows: Formalize and execute complex protocols and high-stakes technical workflows to ensure continuous operational flow for the Interdisciplinary Machine Learning Research department.

  • Distill Complex Data: Conduct ad hoc technical and market research projects, translating multifaceted information into coherent frameworks that support strategic decision-making in Large-Scale Model Pre-Training and Post-Training Frameworks.

  • Optimize Operational Frameworks: Validate and process intricate documentation and technical requirements with meticulous attention to detail and systemic accuracy across Cutting-Edge High-Performance Computing (HPC) Infrastructure.

  • Engineer Multi-Project Solutions: Independently manage a diverse portfolio of concurrent projects, applying a proactive Goal-Execution-Mapping (GEM) approach to solve emergent bottlenecks in Data Pipelines, Infrastructure Scaling, and Inference Optimization.

  • Facilitate Elite Communication: Serve as a discreet and articulate interface between the technical committee and internal/external stakeholders, maintaining the highest standards of professional integrity.

Candidate DNA

  • Architectural Philosophy: A mindset rooted in efficiency and resilience, with the ability to navigate a hybrid, high-pressure environment with autonomous precision.

  • Resourceful Problem-Solving: A proven track record of execution, demonstrating the ability to anticipate systemic bottlenecks before they impact the broader workflow.

  • Communication Precision: Exceptional interpersonal skills characterized by clarity, discretion, and the ability to seamlessly interact with elite scientific and business minds.

  • Cross-Functional Agility: An adaptive execution style capable of pivoting effortlessly between rigorous operations and technical inquiry within a high-performance ecosystem.

Academic & Research Pedigree

  • Educational Foundation: An advanced degree is preferred, ideally within a STEM discipline or a quantitative field directly relevant to Machine Learning, Computer Science, or Computational Biophysics.

  • Domain Expertise: Prior professional engagement within high-performance computing, quantitative finance, or advanced technology sectors is highly advantageous.

  • Quantitative Literacy: Comfort with the mathematical and operational rigor inherent in a firm focused on supercomputing and high-speed data processing.

Partnering with StaffRight Associates

At StaffRight Associates, we operate at the intersection of technical alignment and structural execution. We don’t just match resumes to keywords; we map your engineering DNA, your architectural philosophy, and your approach to system resilience to the most sophisticated Unique STEM Challenges in the industry.

When you partner with us, you are engaging with an elite team that speaks your language and understands the nuances of high-stakes innovation. We are committed to placing elite talent where their technical contributions drive systemic impact.

Salary : $450,000 - $1,000,000

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