Entry Level Scientific Software Developer Jobs in New York

Preface

The architectural integrity of global investment and technology research relies on the seamless convergence of Advanced Software Engineering 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 Drug Discovery Software 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 Software Developer for Drug Discovery, 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 Molecular Dynamics Simulation and AI-Driven Drug Discovery.

You will be tasked with the sophisticated management of Critical Software Tools, Systems, and Supercomputing Infrastructure, 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, Highly Selective Therapeutics for Disease Treatment.

Core Technical Objectives

• Orchestrate Systemic Workflows: Formalize, build, and execute high-performance scientific workflows and scalable backend systems to ensure continuous operational flow for the interdisciplinary research teams.

• Distill Complex Data: Architect large-scale chemical databases, data-parallel computing systems, and cheminformatics algorithms, translating multifaceted biological and chemical data into coherent frameworks that accelerate molecular modeling.

• Optimize Operational Frameworks: Validate, optimize, and process intricate infrastructure requirements, virtual screening tools, and visualization software with meticulous attention to detail and systemic accuracy.

• Engineer Multi-Project Solutions: Independently manage a diverse portfolio of concurrent software initiatives across cluster architectures, applying a proactive Goal-Execution-Mapping (GEM) approach to solve emergent data bottlenecks.

• Facilitate Elite Communication: Serve as a discreet and articulate interface between the technical software committee, biologists, chemists, and machine learning engineers, 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 (utilizing a 3-day in-office schedule from Tuesday to Thursday).

• Resourceful Problem-Solving: A proven track record of achievement and intellectual curiosity, demonstrating the ability to anticipate software bottlenecks and optimize systems before they impact the broader scientific workflow.

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

• Cross-Functional Agility: An adaptive execution style capable of pivoting effortlessly between low-level systems programming and high-level algorithmic architecture 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 Computer Science, Computational Biophysics, or Bioinformatics.

• Domain Expertise: Prior professional engagement within high-performance computing, systems software development, or advanced cluster architectures is highly advantageous.

• Quantitative Literacy: Expert-level mastery of Python, C++, and fluency with Linux/UNIX tools, matching the mathematical and operational rigor inherent in a firm focused on supercomputing and high-speed data processing.