Consultant Scientist, Computer Aided Drug Design

• Design small molecule and related-modality therapeutics using structural, simulation, ML, and assay data
• Lead computational analysis and design activities on cross-functional drug discovery projects
• Apply computational tools and medicinal chemistry knowledge across target selection, druggability analysis, hit identification, hit-to-lead, lead optimization, and clinical candidate nomination
• Collaborate with the computational development team to align platform application development and R&D priorities
• Develop modifications and improvements to internal applications and physics-based simulation capabilities
• Assess the fidelity and accuracy of calculations
• Train and mentor team members on modeling and AI/ML concepts
• Analyze simulation and AI/ML results, derive actionable hypotheses, and communicate findings
• Report to the Senior Director of CADD and collaborate with experimental medicinal chemistry, structural biology, and application engineering teams

• PhD in computational chemistry, organic or physical chemistry, physics, or a closely related field
• Minimum 5 years of computer-aided drug design (CADD) or related biotech/pharma experience
• Experience advancing small-molecule drug discovery from target tractability and hit identification through lead optimization
• Demonstrated through peer-reviewed publications and inventorship status on patent applications
• Experience and understanding of physics-based, AI/ML, and generative computational approaches to drug discovery
• Excellent communication and collaboration skills in a multidisciplinary environment
• Excellent organizational skills and attention to detail
• Passion for learning new concepts and technologies
• Proficiency in scientific programming, such as Python, R, or C++
• Proficiency in molecular simulation packages, such as AMBER, OpenMM, NAMD, or Gromacs
• Proficiency in data science and machine learning tools, such as scikit-learn or Py Torch
• Experience mentoring interns, co-ops, and junior scientists

Expertise in computational chemistry and drug design, with a strong focus on small molecule therapeutics, AI/ML applications, and collaboration in multidisciplinary teams. Proven ability to lead projects from target selection through clinical candidate nomination while mentoring junior scientists.

• PhD In Computational Chemistry
• Computer-Aided Drug Design (CADD)
• Molecular Simulation Packages (AMBER, OpenMM, NAMD, Gromacs)
• Scientific Programming (Python, R, C++)
• Data Science And Machine Learning Tools (Scikit-Learn, PyTorch)

• Computational Analysis
• Drug Discovery
• Hit Identification
• Lead Optimization
• Physics-Based Simulation
• AI/ML Concepts
• Target Selection
• Druggability Analysis
• Clinical Candidate Nomination
• Mentoring

• Excellent Communication
• Collaboration Skills
• Organizational Skills
• Attention To Detail
• Passion For Learning

• Biotech
• Pharma
• Peer-Reviewed Publications
• Inventorship Status
• Cross-Functional Projects