PhD Scientist, Drug Discovery Data | AI/ML

Hybrid in New York, NY, US • Posted 4 days ago • Updated 4 days ago
Full Time
No Travel Required
On-site
250000 - 400000/yr
Company Branding Image
Fitment

Dice Job Match Score™

👤 Reviewing your profile...

Job Details

Skills

  • Data Curation
  • Chemical Dataset Analysis
  • Biological Dataset Analysis
  • Machine Learning Data Strategy
  • Molecular Dynamics
  • Assay Validation
  • Pharmacology
  • Medicinal Chemistry
  • Python
  • Linux
  • Interdisciplinary Collaboration
  • Goal-Execution-Mapping (GEM)
  • Project Management
  • Technical Research
  • Protocol Execution

Summary

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.

StaffRight 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

StaffRight 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 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, 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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90939179
  • Position Id: 8992473
  • Posted 4 days ago

Company Info

About StaffRight Associates, LLC

StaffRight Associates is a premier recruitment and staffing partner that provides talent to a broad and diverse range of corporate disciplines. StaffRight was crafted out of an industry need to better manage the processes and complexities of today’s recruitment and staffing demands. With company beginnings formulated in the industry over 30 years ago, our founder realized that there was a definitive need to utilize recruitment and staffing more efficiently and effectively than what has been the typical industry standard model. StaffRight is dedicated to servicing our clients with a comprehensive, scientific approach of refining the process throughout our clients' engagements.  

Understanding and committing to our employees is critical to the growth and sustainability of StaffRight. We are of the opinion that regardless of their expertise, a successful company needs great people. The success of an employee is realized in a variety of different ways, but for us, we go well beyond one's credentials and interview. Finding the best employees who possess the needed skills, experience, and education are certainly key in a hire, but to truly find great employees who feel they are an integral part of the company, it takes tremendous insight in understanding what makes someone successful. Passion for one’s work, commitment to excellence, and having a ‘get it done’ attitude are essential for a great employee. Having these qualities also goes a long way in ensuring that an employee always has the client's best interests in mind. Great employees are passionate about their work and the company where they hang their jacket. Additionally, we believe that having refined and solid communication skills is also paramount in enabling all employees to work together towards the common goals and successes of the company. This collaboration is very much based on our employees' ability to listen to others and respond effectively, both internally with each other, and externally to our clients. 

About_Company_OneAbout_Company_Two
Contact the job poster
Nick Ingaciola

Nick Ingaciola

Director/Owner @ StaffRight Associates, LLC
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Hybrid in New York, New York

4d ago

Easy Apply

Full-time

250000 - 600000

Hybrid in New York, New York

4d ago

Easy Apply

Full-time

250000 - 600000

Hybrid in New York, New York

4d ago

Easy Apply

Full-time

300000 - 900000

Hybrid in New York, New York

4d ago

Easy Apply

Full-time

170000 - 210000

Search all similar jobs