This role is based in New York, NY, offering a hybrid work model (3 in-office & 2 remote) and an elite compensation package ranging from $200,000 to $240,000, supplemented by sign-on bonuses, relocation assistance, and full visa sponsorship for qualified candidates.
The Mission
StaffRight Associates is sporcing for a high-caliber Scientist to architect the data landscape for a world-class computational research collective. This role is positioned at the critical nexus of molecular dynamics, machine learning (ML), and drug discovery. You will not merely manage data; you will formalize the technical strategy that translates raw chemical and biological information into actionable intelligence for advanced algorithmic modeling. This is a mission-critical opportunity to influence the trajectory of therapeutic development by bridging the gap between wet-lab experimentation and high-performance computational synthesis.
Core Technical Objectives
Synthesize multi-dimensional scientific datasets, ensuring structural alignment between biological assays and machine learning architectures.
Engineer bespoke curation pipelines to process complex chemical and pharmacological data, maintaining the highest levels of fidelity for predictive modeling.
Orchestrate data strategy in direct collaboration with ML researchers to optimize the feedback loop between computational simulations and experimental results.
Validate the integrity of large-scale datasets derived from medicinal chemistry and pharmacology, ensuring they meet the rigorous standards required for atomic-level simulations.
Deploy advanced analytical methodologies within a high-performance Linux environment to accelerate the discovery of highly selective, targeted therapeutics.
Candidate DNA
Architectural Philosophy: You possess a deep-seated belief that data integrity is the foundation of scientific discovery. You approach datasets not as static files, but as dynamic systems that require precise calibration and structural mapping.
Technical Mastery: High-level proficiency in Python and Linux is essential for automating complex workflows and navigating high-speed computational environments.
Domain Expertise: A profound understanding of the drug discovery lifecycle, specifically concerning the nuances of biological assays and the translation of medicinal chemistry into computational formats.
Innovation Mindset: You thrive in an interdisciplinary ecosystem where the goal is to decouple traditional research bottlenecks through high-performance computing and algorithmic innovation.
Academic & Research Pedigree
Ph.D. Foundation: A Doctorate in Medicinal Chemistry, Pharmacology, Biology, or a closely related STEM discipline from a premier institution is mandatory.
Laboratory Rigor: Minimum of three years of industrial laboratory experience, demonstrating a mastery of first-principles within a drug discovery context.
Technical Synthesis: Proven ability to apply mathematical and scientific rigor to the curation of complex datasets, ideally with a thesis or research background that emphasizes the intersection of experimental science and computational analysis.
Partnering with StaffRight Associates
At StaffRight 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, your approach to system resilience, and your "Goal-Execution-Mapping", to the most sophisticated STEM challenges in the industry. When you partner with us, you are engaging with a 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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