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 Requirements 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 PyTorch Experience mentoring interns, co-ops, and junior scientists Core Competencies 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. Highest-signal resume keywords 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) ATS Optimization Keywords Hard Skills Computational Analysis Drug Discovery Hit Identification Lead Optimization Physics-Based Simulation AI/ML Concepts Target Selection Druggability Analysis Clinical Candidate Nomination Mentoring Soft Skills Excellent Communication Collaboration Skills Organizational Skills Attention To Detail Passion For Learning Industry Keywords Biotech Pharma Peer-Reviewed Publications Inventorship Status Cross-Functional Projects #J-18808-Ljbffr Jobtailor