Hiring: (Senior) Scientist, Machine Learning Company: Flagship Pioneering Location: Cambridge, MA Job Posted Time: 2026-09-02 17:58:10 Employment Type: Full-time Target Skills & Keywords: Machine Learning, Quantum Chemistry, Electronic Structure, Generative Molecular Design, Chemoproteomics, Covalent Drug Discovery, Molecular Representation, DFT-Derived Descriptors, Reactivity Modeling, Protein-Ligand Interactions, Data Curation, Benchmarking, Featurization Pipelines, Medicinal Chemistry Collaboration Experience: - Proven experience developing, evaluating, and applying modern machine learning approaches in a research or drug discovery setting - Hands-on experience with molecular representation, quantum chemistry, and computational drug discovery - Experience applying generative models to active drug discovery programs - Experience with large-scale molecular datasets, including quantum chemistry outputs, conformer ensembles, protein-ligand interaction data, covalent reactivity data, and experimental chemoproteomics data - Track record of independently driving projects in a fast-paced research environment Required Skills: - Strong expertise in modern machine learning methods - Deep understanding of molecular representation, quantum chemistry, and computational drug discovery - Ability to develop, implement, and evaluate ML methods connecting (macro-)molecular quantum chemical features, reactivity modeling, covalent bond formation, and proteome-wide target engagement data - Proficiency in designing and implementing rigorous benchmarks for model performance, including retrospective, prospective, and program-relevant validation strategies - Ability to refine, fine-tune, and apply foundational models to drug discovery programs - Hands-on data curation, quality control, and dataset construction - Development of scalable featurization and modeling pipelines for large molecular datasets - Strong collaboration skills across computational, chemistry, biology, and proteomics teams Qualifications: - Motivated, innovative, and collaborative problem solver with a passion for impact - Scientifically rigorous and comfortable with hands-on data curation - Capable of independently driving projects in a fast-paced research environment - Strong partnership mindset, particularly with medicinal chemistry teams Compensation: Not specified Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!