Principal Investigator, Computational Molecular Science

Hybrid in New York, NY, US • Posted 13 hours ago • Updated 13 hours ago
Full Time
No Travel Required
Hybrid
300000 - 600000/yr
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Job Details

Skills

  • Deep Learning
  • Python
  • Neural Network Architecture
  • Supervised Learning
  • Unsupervised Learning
  • Generative Modeling
  • Reinforcement Learning
  • PyTorch
  • JAX
  • TensorFlow
  • Algorithmic Development
  • High-Performance Computing (HPC)
  • Scalable Software Engineering
  • Data Structures
  • Numerical Optimization
  • Statistical Modeling
  • Molecular Dynamics
  • Structural Biology
  • Computational Biophysics
  • Cheminformatics
  • Quantum Chemistry
  • Medicinal Chemistry
  • Protein Folding Analysis
  • Biomolecular Simulation
  • SMILES/Inchi Representation
  • Ligand-Protein Interaction
  • Statistical Mechanics
  • Interdisciplinary Collaboration
  • Innovative Problem Solving
  • Technical Research Leadership
  • Peer-Reviewed Publication
  • Scientific Communication
  • Intellectual Curiosity
  • Versatility

Summary

Location: New York, NY (Hybrid)

Compensation: $300,000 – $600,000 base + Sign-on and Year-end Bonuses

The Opportunity

Join a world-class, interdisciplinary research collective in New York City dedicated to transforming the landscape of drug discovery and biomolecular simulation. This role offers the unique chance to sit at the intersection of computer science, biology, and chemistry, utilizing massive computational power—including proprietary, custom-built supercomputing hardware—to solve the most complex problems in biophysics.

As a Principal Investigator, Computational Molecular Science, you will be a key driver in expanding our group’s capabilities in applying deep learning to molecular dynamics and medicinal chemistry. We are looking for individuals who prioritize intellectual curiosity and innovation over traditional domain silos.


Key Responsibilities

  • Innovate & Implement: Design, develop, and deploy state-of-the-art deep learning models to enhance the accuracy of quantum chemistry and biomolecular simulations.

  • Collaborate: Work closely with a diverse team of chemists, biologists, and computer scientists to integrate ML techniques into the drug discovery pipeline.

  • Scaling Scientific Discovery: Use high-performance computing resources to train models capable of generating optimized molecules and predicting complex biological interactions.

  • Research Leadership: Stay at the forefront of ML literature, translating cutting-edge academic breakthroughs into practical, scalable software tools.


Candidate Profile & Requirements

We value a track record of achievement and a versatile mindset. While domain-specific knowledge in biology or chemistry is a plus, it is not a prerequisite for candidates with exceptional ML credentials.

Core Technical Requirements:

  • Exceptional Machine Learning Expertise: Demonstrated experience in developing and training sophisticated deep learning architectures.

  • Advanced Programming: Expert-level proficiency in Python and standard ML frameworks (e.g., PyTorch, JAX, or TensorFlow).

  • Academic & Professional Excellence: A distinguished record of innovation, which may include high-impact publications, successful industrial deployments, or significant contributions to open-source projects.

Relevant (but optional) Domain Experience: Experience in one or more of the following areas is highly valued but not strictly required:

  • Molecular Dynamics & Structural Biology

  • Medicinal Chemistry & Cheminformatics

  • Quantum Chemistry

  • Biophysics


Benefits & Environment

We pride ourselves on a stimulating, positive work culture that rewards intellectual rigor and collaborative problem-solving.

  • Hybrid Work Model: Collaborative in-office days (Tuesday–Thursday) with the flexibility to work from home on Mondays and Fridays.

  • Comprehensive Support: We provide generous benefits, including relocation assistance and immigration/visa sponsorship for qualified candidates.

  • Elite Compensation: Competitive base salary ($300k–$600k) tailored to experience, complemented by a robust variable bonus structure.

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: 8913114
  • Posted 13 hours 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. 

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