Machine Learning Chemistry Jobs in New York (NOW HIRING)

Innovation in investment and technology research demands more than just data—it requires the seamless convergence of machine learning, computational chemistry, and biophysics and high-stakes execution. At the core of this firm, the challenge is not merely managing systems, but architecting the infrastructure that enables breakthroughs.

StaffRight Associates is sourcing for a world-class firm where computational excellence is the standard. We are seeking an elite professional to join the Machine Learning Research team. This is not a support role; it is a strategic position for a candidate who thrives in a research-intensive environment and understands that technical precision is the backbone of global-scale problem-solving.

Our client’s environment demands exceptional intellectual rigor. While academic achievements are highly valued, StaffRight Associates is specifically targeting elite candidates who possess advanced degrees (Master’s or Ph.D.) in quantitative or STEM-related disciplines. Additionally, a strong track record of published research, hands-on academic exploration, or innovative technical contributions in high-performance computing, quantitative finance, or advanced technology sectors is highly preferred.

As a Molecular Dynamics – Machine Learning Researcher, you will act as a force multiplier for the team. Your mission is to eliminate systemic friction, allowing leadership to maintain an absolute focus on accelerating drug discovery, biomolecular simulation, and deep learning-driven molecular design.

You will transform abstract organizational challenges into high-impact, actionable outcomes. Working at the intersection of proprietary architecture and sophisticated algorithms, you will ensure that the firm’s technical output consistently pushes the boundaries of computational biochemistry and molecular biology.

• Orchestrate Systemic Workflows: Own and execute complex, high-stakes protocols to ensure seamless operational velocity for the Machine Learning Research group.

• Distill Complex Data: Spearhead technical research, translating multifaceted bio-computational and structural information into precise deep learning frameworks that drive strategic decisions.

• Optimize Frameworks: Validate and refine intricate technical requirements, ensuring systemic accuracy, structural modeling fidelity, and operational resilience.

• Engineer Multi-Project Solutions: Navigate concurrent projects using a proactive Goal-Execution-Mapping (GEM) approach to preempt bottlenecks across modeling, validation, and supercomputer deployment.

• Facilitate Elite Communication: Serve as a key interface between the technical/scientific committee and critical stakeholders, upholding the highest standards of professional discretion.

• Architectural Mindset: You approach complex deep learning and biophysical problems with a focus on scale, efficiency, and resilience, executing with autonomous precision under pressure.

• Proactive Problem-Solving: You don''''''''''''''''t just react to issues; you anticipate systemic model bottlenecks (e.g., in protein folding, generative chemistry, or force field accuracy) and resolve them before they impact the research pipeline.

• Communication Precision: You translate complex technical concepts—such as neural network architectures, quantum chemistry models, or molecular dynamics trajectories—into clear, articulate insights for elite scientific and business minds.

• Cross-Functional Agility: You pivot effortlessly between rigorous, hands-on python development and deep scientific inquiry, maintaining momentum in a high-performance ecosystem.

This is a unique opportunity to collaborate with world-class chemists, biologists, and computer scientists to expand the group’s efforts applying machine learning to drug discovery, biomolecular simulation, and biophysics.

• Develop advanced deep learning techniques applied to molecular systems.

• Contribute to a rapidly growing ML research effort that has already successfully published neural networks improving quantum chemistry model accuracy and trained deep learning models to generate optimized molecules for drug discovery.

• Work alongside specialized, proprietary technology—including multiple generations of the special-purpose supercomputer, which executes molecular dynamics simulations orders of magnitude faster than conventional systems.

• Strong Programming Skills: Outstanding Python programming abilities are a baseline requirement.

• Domain Alignment: Experience in molecular dynamics, structural biology, medicinal chemistry, cheminformatics, and/or quantum chemistry is highly preferred.

• Note: Specific knowledge of all these domains is less critical than intellectual curiosity, versatility, and a proven track record of achievement and innovation in the broader field of machine learning.

• Collaborative Mindset: A desire to contribute to a stimulating, positive, and deeply collaborative research culture.

At StaffRight Associates, we operate at the nexus of technical alignment and structural execution. We do more than match resumes to keywords; we map your specific engineering DNA to the most demanding challenges in the industry.

When you partner with us, you are collaborating with an elite team that understands the nuances of high-stakes innovation. We are committed to placing talent where their contributions drive meaningful, systemic impact.