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PhD Scientist, Drug Discovery Data | AI​/ML

Job in New York, New York County, New York, 10261, USA
Listing for: Jobs via Dice
Full Time position
Listed on 2026-06-23
Job specializations:
  • Science
    Data Scientist, Research Scientist
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: New York

Preface

The architectural integrity of global investment and technology research relies on the seamless convergence of Computational Drug Discovery and rigorous computational execution. Within this domain, where the synthesis 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.

Staff Right Associates is seeking an elite professional to join the ML Data 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 specialized technical awareness with proactive problem-solving, the successful candidate will ensure the structural alignment of the firm’s strategic mission with its technical execution.

The

Mission

Staff Right Associates is recruiting for a Scientist, Drug Discovery Data for AI/ML
. As a vital catalyst within a premier organization, your mission is to decouple systemic friction from analytical progress, allowing the firm’s leadership to maintain a singular focus on the acceleration of Molecular Dynamics Simulation and Atomistic Modeling
. You will be tasked with the sophisticated management of Scientific Dataset Curation and Analysis
, 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 Precision Drug Design
.

Core Technical Objectives
  • Orchestrate Systemic Workflows:
    Formalize and execute complex protocols and high-stakes technical workflows to ensure continuous operational flow for the ML Data team.
  • Synthesize Complex Data:
    Identify, curate, and analyze multifaceted chemical and biological datasets, distilling information into coherent frameworks that support AI/ML model development.
  • Optimize Operational Frameworks:
    Validate and process intricate documentation and technical requirements with meticulous attention to detail and systemic accuracy.
  • 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 strategy.
  • Facilitate Elite Communication:
    Serve as a discreet and articulate interface between the machine learning committee and interdisciplinary 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 without supervision.
  • Resourceful Problem-Solving: A proven track record of autonomous 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 interact with elite scientific and business minds.
  • Functional Versatility: A generalist mindset capable of pivoting between rigorous execution and technical inquiry within a high-performance ecosystem.
Academic & Research Pedigree
  • Educational Foundation: A Ph.D. is required, ideally within Medicinal Chemistry, Pharmacology, Biology, or a related STEM discipline that provides a foundation for understanding molecular behavior.
  • Domain Expertise:
    Significant professional engagement within pharmaceutical or biotech sectors, specifically involving hands-on laboratory experience and drug discovery projects, is highly advantageous.
  • Quantitative Literacy:
    Comfort with the mathematical and operational rigor inherent in a firm focused on supercomputing, Python-based data manipulation, and high-speed data processing.
Partnering with Staff Right Associates

At Staff Right Associates
, we operate at the intersection of technical synthesis and structural alignment. 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 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.

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