Scientist - Computational Chemistry

Rhino Federated Computing • Boston, MA

68d

About The Position

We are seeking a scientist with deep expertise in drug discovery and computational chemistry to drive the real-world application of Rhino’s Federated Computing Platform across pharma and biotech R&D. This is a hands-on, client-facing role for a scientist leader who understands the balance between scientific innovation, data privacy, and intellectual property protection. You will partner directly with computational and medicinal chemists, demonstrating how federated learning can accelerate discovery without compromising confidentiality. You’ll lead implementations, deliver measurable outcomes, and transform curiosity about federated AI into everyday adoption across research teams.

Requirements

• A PhD (or equivalent experience) with hands-on experience in structure-based drug discovery within a pharmaceutical or biotech environment.
• Practical experience with techniques such as molecular docking, molecular dynamics, virtual screening, protein design related data analysis.
• Practical experience applying machine learning models to solve problems in drug discovery.
• Exceptional communication skills to explain complex scientific and technical concepts clearly and concisely to diverse audiences.
• Strong scripting skills (e.g., Python) and familiarity with common computational chemistry software suites (e.g., Schrödinger, MOE, OpenEye, RDKit).

Nice To Haves

• A foundational understanding of the principles behind federated learning, data privacy, and the challenges of working with decentralized data.
• Familiarity with the process of deploying and supporting software in secure, on-premise, or virtual private cloud (VPC) enterprise environments.
• Proven experience in a client-facing scientific role such as Application Scientist, Field Scientist, Scientific Liaison, or a similar position.

Responsibilities

• Lead hands-on technical engagements with pharma users, guiding them from initial evaluation to deep integration of the Federated Computing on their active drug discovery programs.
• Serve as the primary scientific partner for computational and medicinal chemists, helping them benchmark federated models and build trust in the results.
• Design and deliver technical workshops and training sessions to empower new technical users (fine tuning, federated training) and non-technical users (inference applications), showcase best practices, and accelerate adoption across research teams.
• Serve as a forward-deployed scientific expert, combining technical depth with commercial awareness to drive platform adoption and demonstrate measurable impact.
• Identify and cultivate internal champions within partner organizations to scale adoption across scientific teams and therapeutic programs.
• Create scientific case studies, proof-of-value reports, and conference materials that showcase platform success and strengthen customer partnerships.
• Act as the voice of the user, capturing and translating field insights into actionable recommendations for Rhino’s product and engineering teams.
• Collaborate with product managers to shape the scientific roadmap, ensuring alignment with evolving computational chemistry and AI challenges.
• Develop and maintain a library of user-facing materials — example datasets, evaluation protocols, and best-practice guides — to standardize scientific excellence across deployments.

What This Job Offers

• Education Level: Ph.D. or professional degree
• Number of Employees: 51-100 employees